Day 0 Agenda :

• 09:00am - 01:00pm

• Parallel Workshops

  Surviving the Big Data challenge - Why Data Science needs Statisticians for making AI Effective

  Course Facilitator : Professor Arnab Kumar Laha , Indian Institute of Management Ahmedabad

  Venue : Seminar Room 1

  Statistical Methods for Geospatial Analysis

  Course Facilitator : Dr. Pradeep Mohan, SAS Institute

  Venue : Seminar Room 2

• 09:00am - 05:30pm

• R Conference

  Invited Speakers:

  Susan Holmes, Professor of Statistics, Stanford University

  Martin Morgan, Research Professor, Biostatistics, SUNY, Buffalo and Director of the Bioconductor project

  Venue : Lecture Hall 21

Day 1 Agenda :

• 09:00am - 09:30am

• Inaugural session

• 09:30am - 10:30am

• Plenary Session

  R R Bahadur Memorial Lecture

  Organizer : Hira L. Koul, Michigan State University

  Chair : Hira L. Koul, Michigan State University

  Venue : Main Auditorium

  Asymptotics of large dimensional random matrices and its uses in statistical analysis, Arup Bose, Indian Statistical Institute, Kolkata

• 10:35am - 11:55am

• Special Invited Session

  Special Invited Session 1

  Chair : Mahesh Iyer, Sineflex Solutions LLP

  Venue : Main Auditorium

  Specifying scale in null hypotheses for noninferiority clinical trials, Richard J. Chappell, University of Wisconsin-Madison

  Small area prediction of survey weighted counts using georeferenced data, Hukum Chandra, Indian Agricultural Statistics Research Institute

• 12:05pm - 01:35pm

• Parallel Scientific Sessions

  Invited Sessions

  Bayesian structure learning

  Organizer : Subhashish Ghoshal, North Carolina State University

  Chair : Suman Majumdar,University of Connecticut

  Venue : Main Auditorium

  Estimating densities with nonlinear support using Fisher-Gaussian kernels, Minerva Mukhopadhyay, Indian Institute of Technology, Kanpur

  Bayesian factor analysis for high-dimensional clustering, Noirrit Kiran Chandra, Duke University

  Bayesian structure learning in graphical models using shrinkage priors, Sayantan Banerjee, Indian Institute of Management Indore

  Model based joint quantile regression with dependency, Surya Tokdar, Duke University

  Random matrix theory and high-dimensional data analysis

  Organizer : Debashis Mondal, Oregon State University

  Chair : Shahina Rahman, Texas A & M University

  Venue : Seminar Room 1

  Testing general linear hypotheses under a high-dimensional spiked model, Debashis Paul, University of California, Davis

  Extreme eigenvector in gue with rank one deformation in the critical regime, Dong Wang, National University of Singapore

  Does a consumer's previous purchase predict other consumers' choices? A Bayesian probit model with spatial correlation, Bikram Karmakar, University of Florida

  Stochastic approximation algorithm for estimating mixing distribution: natural extensions to dependent cases, Nilabja Guha, University of Massachusetts Lowell

  Recent advances in multivariate shape constrained estimation

  Organizer : Adityanand Guntuboyina, University of California Berkeley

  Chair : Adityanand Guntuboyina, University of California Berkeley

  Venue : Seminar Room 2

  Statistical and computational challenges in estimating permutation-based models with shape constraints, Ashwin Pananjady, University of California Berkeley

  Adaptive estimation of multivariate piecewise constant and bounded variation functions by dyadic cart type methods, Sabyasachi Chatterjee, University of Illinois at Urbana-Champaign

  Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and hardy-krause variation, Adityanand Guntuboyina, University of California Berkeley

  Advances in statistical applications in biomedical science and personalized medicine

  Organizer : Tanujit Dey, Cleveland Clinic Lerner Research Institute

  Chair : Tanujit Dey, Cleveland Clinic Lerner Research Institute

  Venue : Seminar Room 4

  Good machine learning for better healthcare, Nigam Shah, Stanford University

  Computational framework for accelerating translational medicine, Purvesh Khatri, Stanford University

  Bayesian kernel based methods for individualized treatment regime selection for personalized medicine, Sounak Chakraborty, University of Missouri-Columbia

  Bayesian nonparametric modeling for continuous time causal mediation analysis, Tanujit Dey, Cleveland Clinic Lerner Research Institute

  A discourse in time-to-event analysis

  Organizer : Ananda Sen, University of Michigan, Ann Arbor

  Chair : Ananda Sen, University of Michigan, Ann Arbor

  Venue : Seminar Room 5

  Reliability modeling and estimation of phased mission systems, Chiranjit Mukhopadhyay, Indian Institute of Science

  Simple step-stress models with a cure fraction, Debasis Kundu, IIT Kanpur

  Correlated inverse Gaussian frailty models based on reversed hazard rate, David Hanagal, Symbiosis Statistical Institute, Symbiosis International University

  Honey i shrunk the intercept, Ananda Sen, University of Michigan, Ann Arbor

  Contributed Sessions

  Statistical Modelling - 1

  Chair : Dibyendu Bhaumik, Reserve Bank of India

  Venue : Seminar Room 11

  Compatibility of conditional distributions, Manjunath B G, University of Hyderabad

  A multiple group latent class analysis under social influence, Ankita Dey, KPC Medical College and Hospital, Kolkata.

  Logistic regression – a comparison between saddle point approximations and other methods, Sumit Singh, Cytel

  Regression for doubly inflated multivariate Poisson distributions, Sumen Sen, Austin Peay State University

  Copula-based multivariate CMP mixture models for doubly inflated count data, Monika Arora, Indraprastha Institute of Information Technology Delhi

  Detection of multiple outliers in linear regression using robust method and the two-phase procedure, Mintu Das, DHSK Commerce College

  Dimensionality reduction by maximizing mutual information between predictor variables and responses, Choudur Lakshminarayan, Teradata Labs

  Conditional performance analysis of phase ii exponential chart for monitoring rare events, Nirpeksh Kumar, Banaras Hindu University

• 01:35pm - 02:35pm

• Lunch

• 02:35pm - 04:05pm

• Tutorial Session

  A General Introduction to Non-Inferiority Trials

  Instructor : Richard J. Chappell, University of Wisconsin-Madison

  Venue : Seminar Room 3

• 02:35pm - 04:05pm

• Parallel Scientific Sessions

  Invited Sessions

  Statistical genomics

  Organizer : Sanjay Shete, The University of Texas MD Anderson Cancer Center

  Chair : Sanjay Shete, The University of Texas MD Anderson Cancer Center

  Venue : Main Auditorium

  Mediation analysis in a case-control study when the mediator is a censored variable, Jian Wang, The University of Texas MD Anderson Cancer Center

  A Bayesian semiparametric latent variable approach to causal mediation, Yisheng Li, The University of Texas MD Anderson Cancer Center

  Bidirectional Mendelian randomization approach to assess direct and indirect mediation effects in cross sectional studies with application to BMI and obesity, Rajesh Talluri, University of Mississippi Medical Center

  The effect of feedback loops on bidirectional Mendelian randomization, Sanjay Shete, The University of Texas MD Anderson Cancer Center

  Algorithms and analysis: How statistics is shaping today's data science

  Organizer : Jayanta Pal, Zendrive Technologies, Inc.

  Chair : Jayanta Pal, Zendrive Technologies, Inc.

  Venue : Seminar Room 1

  Safety analytics: one number says it all - Part i: conceptual development, Anil Gore, CYTEL Statistical Software and Services Pvt.Ltd.

  Stochastic gradient descent and Fisher scoring, Vignesh Subramaniam, Intuit

  Integrative analysis of imaging and genomics data, across biological scale, Arvind Rao, University of Michigan

  Route risks using driving data on road segments, Jayanta Kumar Pal, Zendrive Technologies, Inc.

  Linear transformation model for censored data

  Organizer : Kattumannil Sudheesh, Indian Statistical Institute, Chennai

  Chair : Kattumannil Sudheesh, Indian Statistical Institute, Chennai

  Venue : Seminar Room 2

  A semi-parametric approach to censored linear transformation models with covariate measurement error, Deemat Mathew, St. Thomas College Palai, Mahatma Gandhi University Kottayam

  Linear transformation models for current status data with long term survivors, Sreedevi E.P, University of Calicut

  Semiparametric transformation model for competing risk with cure fraction for interval censored data, Sudheesh Kumar Kattumannil, Indian Statistical Institute, Chennai

  Methodology for functional and high-dimensional data

  Organizer : Subhajit Dutta, Indian Institute of Technology Kanpur

  Chair : Shyamal Krishna De, National Institute of Science Education and Research, India

  Venue : Seminar Room 4

  Dynamic dimension selection in functional PCA identifying change point in functional data, Buddhananda Banerjee, IIT Kharagpur

  Bootstrap inference in LASSO, Debraj Das, Indian Institute of Technology Kanpur

  The statistical face of a region under monsoon rainfall in eastern India, Kaushik Jana, Imperial College London and the Alan Turing Institute

  Estimating historic movement of a climatological variable from a pair of misaligned functional data sets, Dibyendu Bhaumik, Reserve Bank of India

  Efficient and tractable modern computing methods

  Organizer : Surya Tokdar, Duke University

  Chair : Surya Tokdar, Duke University

  Venue : Seminar Room 5

  Machine learning methods for causal inference from complex observational data, Alexander Volfovsky, Duke University

  Efficient Bernoulli factory MCMC for intractable likelihoods, Dootika Vats, Indian Institute of Technology, Kanpur

  By all means, k-means, Jason Xu, Duke University

  Improving variational inference via sampling, Piyush Rai, IIT Kanpur

  Contributed Sessions

  Statistical Modelling - 2

  Chair : Nabarun Deb, Columbia University

  Venue : Seminar Room 11

  Calibration estimation of regression coefficient from sample survey data with additional auxiliary variables, Vandita Kumari, Indian Agricultural Statistics Research Institute

  Row-column designs for factorial experiments with baseline parameterization, Sukanta Dash, Indian Agricultural Statistics Research Institute

  Modified simplex-centroid designs with complete blends for mixture experiments, Baidya Nath Mandal, Indian Agricultural Statistics Research Institute

  Data depth based tests for equality of mean functions, Latika Shinde, Prof. Dr. N. D. Patil Mahavidyalaya

  Max-affine regression: provable, tractable, and near-optimal statistical estimation, Avishek Ghosh, University of California- Berkeley

• 04:35pm - 06:05pm

• Parallel Scientific Sessions

  Invited Sessions

  Modern topics in Bayesian computation

  Organizer : Yang Ni, Texas A & M University

  Chair : Rajesh Talluri, University of Mississippi Medical Center

  Venue : Main Auditorium

  Anchored Bayesian Gaussian mixture models, Mario Peruggia, The Ohio State University

  Scalable Bayesian nonparametric clustering and classification, Peter Mueller, UT Austin

  A fast algorithm for clustering high dimensional data, Shahina Rahman, Texas A & M University

  Some applications of MCMC perturbations in high-dimensional problems, Anirban Bhattacharya, Texas A & M University

  Large scale inference and applications

  Organizer : Gourab Mukherjee,University of Southern California

  Chair : Bikram Karmakar, University of Florida

  Venue : Seminar Room 1

  Quantifying indirect costs of a sales agent departure: how relationships, effort, & moral hazard contribute to revenue loss, Wreeto Kar, Purdue University

  High dimensional semi-supervised regression: a framework for robust sparsity-free inference, Abhishek Chakrabortty, Department of Statistics, Texas A & M University

  Estimation in ising and higher-order Markov random fields, Bhaswar Bhattacharya, University of Pennsylvania

  Large-scale Bayesian modeling for studying promotion effects in marketing campaigns, Sabyasachi Mukhopadhyay, Indian Institute of Management, Udaipur

  Recent developments in analysis of complex survey data

  Organizer : Hukum Chandra, ICAR-Indian Agricultural Statistics Research Institute

  Chair : Hukum Chandra, ICAR-Indian Agricultural Statistics Research Institute

  Venue : Seminar Room 2

  Bayesian predictive inference of a finite population proportion under selection bias, Dhiman Bhadra, IIM Ahmedabad

  Estimation of finite population total under two-stage sampling design using two step calibration approach, Pradip Basak, ICAR-Indian Agricultural Statistics Research Institute

  Inverse adaptive cluster sampling, Raosaheb Latpate, Savitribai Phule Pune University

  Estimating rare and elusive population using past data: Kalman filter approach, Sanghamitra Pal, West Bengal State University, Barasat, India

  Matching of survey data, analysis of outcome dependent sampling, missingness and unmeasured confounding

  Organizer : Ryung Kim, Albert Einstein College of Medicine

  Chair : Ryung Kim, Albert Einstein College of Medicine

  Venue : Seminar Room 3

  Estimation of causal effect in non-randomized trials by propensity score method, ArunKumar Namachivayam, Bapuji Dental College and Hospital

  A two-phase approach to account for unmeasured confounding and censoring of a fixed time endpoint, Jaeun Choi, Albert Einstein College of Medicine

  Statistical method for analyzing missing data in nested case control studies, Shankar Viswanathan, Albert Einstein College of Medicine

  Methods for statistical matching of survey data, Tinku Thomas, St. John's Medical College

  Statistical modeling of high dimensional genomic data

  Organizer : Saonli Basu, University of Minnesota

  Chair : Abhirup Datta, Johns Hopkins Bloomberg School of Public Health

  Venue : Seminar Room 4

  Genetic association mapping of multivariate phenotypes in the presence of missing data, Saurabh Ghosh, Indian Statistical Institute, Kolkata

  Advances and challenges in single cell rna-seq analysis, Susmita Datta, University of Florida

  A new statistical test for discovering genetic variants influencing two traits using gwas summary statistics, Debashree Ray, Johns Hopkins University

  Estimation of snp-based heritability in multi-ethnic studies, Saonli Basu, University of Minnesota

  Recent advances in longitudinal and time series data

  Organizer : Sourish Das, Chennai Mathematical Institute, India

  Chair : Sourish Das, Chennai Mathematical Institute, India

  Venue : Seminar Room 5

  Study of spectrum for fractional Brownian motion driven model with application in finance, Ananya Lahiri, IIT Tirupati

  Measuring non-stationarity of a time series., Sourav Das, James Cook University

  Analysing causal effect of London cycle superhighways on traffic congestion, Prajamitra Bhuyan, Imperial College London

  Statistical models for yield loss estimation in rice crop due to weeds, Yogita Gharde, ICAR-Directorate of Weed Research

  Contributed Sessions

  Distribution Theory and Estimation

  Chair : B G Manjunath, University of Hyderabad

  Venue : Seminar Room 11

  An improved estimator for estimating finite population mean using linear combination of tri-mean and quartile average of auxiliary variable under predictive modeling approach, Dharmendra Kumar Yadav, Ramanujan College, University of Delhi

  Improved class of estimators for population variance using two auxiliary information, Chandni Kumari, Babasaheb Bhimrao Ambedkar University Lucknow

  Asymtotic variance and mse for two generalized uniform distributions, Milind Bhatt, Sardar Patel University

  A super population model approach to imputation for estimating population mean, Priyanka Singh, SRM IST

  Ratio and product estimators for population mean using auxiliary attribute: a predictive approach, Monika Saini, Manipal University Jaipur

  A new algorithm for the partition of Pearson's chi-squared statistic for multiway contingency table, Kirtee Kamalja, Kavayitri Bahinabai Chaudhari North Maharashtra University

  On improved estimation of population variance in double sampling using auxiliary information, Tarunpreet Kaur Ahuja, D.A.V. (P.G.) College, Dehradun

  Biostatistics

  Chair : Kalins Banerjee, Pennsylvania State University

  Venue : Seminar Room 12

  Covariate-adjusted response-adaptive designs for Weibull distributed survival responses, Ayon Mukherjee, Parexel

  Blinded sample size re-estimation in 2 × 2 crossover trial, Kaustav Banerjee, Indian Institute of Management, Lucknow

  On the estimation of population size using sample capture-recapture data under dependence with application to encephalitis incidences, Kiranmoy Chatterjee, Bidhannagar College, Kolkata

  Design and analysis of clinical studies for estimation of therapeutic window using functional uniform prior, Arunangshu Biswas, GSK Pharma

  Time-course data prediction for longitudinal gene expression, Gajendra Vishwakarma, Indian Institute of Technology (ISM) Dhanbad

  Schutz coefficient: a simple alternative to Youden index, Pramod Gupta, Post-Graduate Institute of Medical Education and Research, Chandigarh

Day 2 Agenda :

• 09:00am - 10:00am

• Plenary Session

  Plenary Session 2

  Chair : Amarjot Kaur, Merck Research Labs

  Venue : Main Auditorium

  Survival analysis using a 5-STAR approach in Randomized Clinical Trials, Devan Mehrotra, Merck Research Labs

• 10:00am - 11:20am

• Special Invited Session

  Special Invited Session 2

  Chair : Amarjot Kaur, Merck Research Labs

  Venue : Main Auditorium

  In her own right: Achieving statistics celebrity, Amanda L. Golbeck, University of Arkansas

  The kernel interaction trick: Fast Bayesian discovery of pairwise interactions in high dimensions, Tamara Broderick, Massachusetts Institute of Technology

• 10:00am - 11:30am

• Student Poster Competition Session

  Venue : Ground Floor Foyer

  Sensitivity of adaptive lasso, Tathagata Basu, Durham University, UK

  A weighted likelihood approach for problems in survival data, Adhidev Biswas, Indian Statistical Institute, Kolkata

  Optimal confidence bands under shape restriction in multidimension, Pratyay Datta, Columbia Unversity

  Learning a cusp catastrophe model through feedforward neural network, Ranadeep Daw, University of Missouri

  Designing of new screening procedure on quick switching double sampling system, Manjula Dhandapani, PSG College of Arts & Science

  A two-sided control chart for process mean based on sequential sampling, Dadasaheb G. Godase, Department of Statistics, Shivaji University, Kolhapur

  Current status data with two competing risks and missing failure types: a non-parametric approach, Tamalika Koley, Indian Statistical Institute, Kolkata

  Sensitivity analysis of water budget due to precipitation forcing errors for the potomac river basin using the VIC hydrologic model, Reetam Majumder, University of Maryland, Baltimore County

  Flexible modeling of variable asymmetries in cross-covariance functions for multivariate random fields, Ghulam Abdul Qadir, King Abdullah University of Science and Technology (KAUST)

  Fast MCMC techniques for fitting Bayesian mixture models to massive multiple-platform cancer data, Archie Sachdeva, University of Florida

  Design of experiments for the identification and estimation of peer effects, Siddhaarth Sarkar, Indian Statistical Institute, Kolkata

  Multivariate association analysis with correlated traits in related individuals, Souvik Seal, Biostatistics Department, Universtiy of Minnesota

  Estimation of reliability in multi-component stress strength model based on generalized exponential distribution, Devendra P. Singh, Indian Institute of Technology, Patna

  Some goodness of fit tests based on depth spacings., Rahul Singh, Indian Institute of Technology, Kanpur

• 11:30am - 01:00pm

• Student Paper Competition Session

  Student Paper Competition - Applications

  Organizer : Subrata Kundu, George Washington University; Saonli Basu, University of Minnesota

  Chair : Saonli Basu, University of Minnesota

  Venue : Main Auditorium

  Analyzing longitudinal clustered count data with zero inflation: marginal modeling using the Conway-Maxwell-Poisson distribution, Tong (Amanda) Kang, University of Florida

  Bivariate functional quantile envelopes with application to Radiosonde wind data, Gaurav Agarwal, King Abdullah University of Science and Technology

  Study on star formation history of nearby galaxies: A Bayesian approach, Soumojit Das, University of Maryland, College Park

  An adaptive multivariate two-sample test with application to microbiome differential abundance analysis, Kalins Banerjee, Pennsylvania State University

  Evaluating quality adjusted life years using proxy utility function and joint modeling of longitudinal and Weibull accelerated failure time models, Vishal Deo, University of Delhi

  Parallel Scientific Sessions

  Invited Sessions

  Data science methods for integration of multi-modal datasets

  Organizer : Arvind Rao, University of Michigan, Ann Arbor

  Chair : Arvind Rao, University of Michigan, Ann Arbor

  Venue : Seminar Room 1

  Accelerating bioinformatics using deep learning, Mayank Baranwal, University of Michigan, Ann Arbor

  Geospatial analysis: 3 case studies, Pradeep Mohan, SAS Institute Inc.

  Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities, Shariq Mohammed, University of Michigan

  A spatio-temporal topic flow model to model polarization in news and online media (virtual presentation), Shyam Ranganathan, Virginia Tech

  Precision medicine and prevention

  Organizer : Karunarathna Kulasekera, University of Louisville

  Chair : Jyotishka Datta, University of Arkansas

  Venue : Seminar Room 2

  Handling sampling and selection bias in association studies embedded in electronic health records, Bhramar Mukherjee, University of Michigan

  Design strategies in mobile health: from micro to macro level experiments, Bibhas Chakraborty, National University of Singapore

  Personalized treatment selection for optimization of survival and other outcomes, Somnath Datta, University of Florida

  Analysis of complex and heterogeneous data with modern statistical models

  Organizer : Naveen Naidu Narisetty, University of Illinois at Urbana-Champaign

  Chair : Naveen Naidu Narisetty, University of Illinois at Urbana-Champaign

  Venue : Seminar Room 3

  Communication-efficient integrative regression in high dimensions, Mouli Banerjee, University of Michigan

  On statistical analysis of spectral graph algorithms for community detection in networks, Ambedkar Dukkipati, Indian Institute of Science

  Subgroup analysis based on structured mixed-effects models for longitudinal data, Juan Shen, Fudan University

  Testing for heteroscedasticity in functional linear models., Pramita Bagchi, George Mason University

  Probability on discrete structures

  Organizer : Sayantan Banerjee, IIM Indore

  Chair : Sayantan Banerjee, IIM Indore

  Venue : Seminar Room 4

  Strong convergence of infinite color balanced urns under uniform ergodicity, Antar Bandyopadhyay, Indian Statistical Institute, Delhi Centre

  Scaling limit of a dynamical drainage network model and application to convergence to the Brownian net in crossing path set up, Kumarjit Saha, Ashoka University

  Scaling limits for discrete interface models, Rajat Subhra Hazra, Indian Statistical Institute

  Some extremal properties of branching random walks, Rishideep Roy, IIM Bangalore

  Scaling limits and statistical inference of stochastic dynamical systems

  Organizer : Wasiur R. KhudaBukhsh, MBI, The Ohio State University

  Chair : Wasiur R. KhudaBukhsh, MBI, The Ohio State University

  Venue : Seminar Room 5

  A semiparametric Bayesian spatiotemporal model for extreme value analysis with big data, Arnab Hazra, King Abdullah University of Science and Technology

  Interacting urns on finite graphs, Gursharn Kaur, National University of Singapore

  Linear eigenvalue statistics of non-Hermitian random band matrices, Rajesh Nandy, University of North Texas

  Survival dynamical systems for the population-level analysis of epidemics, Wasiur R. KhudaBukhsh, MBI, The Ohio State University

  Statistical inference with Bayesian nonparametrics

  Organizer : Yang Ni, Texas A & M University

  Chair : Yang Ni, Texas A & M University

  Venue : Seminar Room 11

  Dependent discrete random structures in Bayesian nonparametrics, Igor Pruenster, Bocconi University

  Modeling human microbiome data via latent nested nonparametric priors, Michele Guindani, University of California Irvine

  Bayesian nonparametric bi-clustering of microbiome data, Yang Ni, Texas A & M University

  Contributed Sessions

  Spatio-temporal and Time Series Analysis

  Chair : Kaustav Banerjee, Indian Institute of Management, Lucknow

  Venue : Seminar Room 12

  Negative binomial integer autoregressive model of order one (NBINAR(1)) with seasonal structure, Manik Awale, Savitribai Phule Pune University

  Comparison between arithmetico geometric process and geometric process repair models for cold standby repairable system with use priority., Babasaheb Thorve, Department of Statistics, New Arts, Commerce and Science College

  Statistical pre harvest forecast modeling for kharif rice in Navsari district of South Gujarat, India, Yogesh A. Garde, Navsari Agricultural University

  Spatio-temporal transport error covariance models for large scale inversions, Subhomoy Ghosh, National Institute of Standards and Technology

  Forecasting market risk of Indian equity and bond market indices, Santanu Dutta, Tezpur University

  Large scale time series forecasting with Walmart supply chain use case, Brijesh Kumar Singhal, Walmart Labs

  The bivariate INARMA(1,1) model with correlated Poisson innovations, Naushad Mamode Khan, University of Mauritius

  A graphical model to detect global teleconnections using spherical needlets, Indranil Sahoo, Virginia Commonwealth University

• 01:00pm - 02:00pm

• Lunch

• 02:00pm - 03:00pm

• Panel Discussion

  Communication and mentoring skills for statisticians

  Organizer : Shailaja Suryawanshi, Merck & Co.

  Moderator : Shailaja Suryawanshi, Merck & Co.

  Venue : Main Auditorium

  Speakers : Lisa LaVange, UNC Chapel Hill

  Mahesh Iyer, Sineflex Solutions LLP

  Bhramar Mukherjee, University of Michigan

  Amit Bhattacharya, Alexion Pharmaceuticals, Inc.

• 02:00pm - 03:30pm

• Parallel Scientific Sessions

  Invited Sessions

  Novel innovations in survival analysis

  Organizer : Arnab Maity, North Carolina State University

  Chair : Santu Ghosh, Augusta University (Medical College of Georgia)

  Venue : Seminar Room 1

  Comparing the accuracy of two diagnostic tests in the analysis of CTC images for detecting colon polyps, Krishna Saha, Central Connecticut State University

  Efficient estimation of cure rate frailty models for clustered current status data, Samiran Sinha, Texas A&M University

  A general class of cure rate models: identifiability issues and model fitting, Sanjib Basu, University of Illinois, Chicago

  On estimation of general index model for survival data, Yanyuan Ma, Pennsylvania State University

  Recent advances in Bayesian nonparametrics

  Organizer : Igor Pruenster, Bocconi University

  Chair : Igor Pruenster, Bocconi University

  Venue : Seminar Room 2

  Bayesian cumulative shrinkage for infinite factorizations, Daniele Durante, Bocconi University

  Hidden hierarchical Dirichlet prior for clustering, Giovanni Rebaudo, Bocconi University

  A multivariate density regression approach for mixed responses with censored, constrained, and mixed traits, Raffaella Piccarreta, Bocconi University

  Bayesian functional clustering with finite-dimensional discrete random structures, Tommaso Rigon, Bocconi University

  Small area estimation and its related topic

  Organizer : Masayo Hirose, Institute of Mathematics for Industry, Kyushu University

  Chair : Shyamal Krishna De, National Institute of Science Education and Research, India

  Venue : Seminar Room 3

  Estimation and inference for area-wise spatial income distributions from grouped data, Genya Kobayashi, Chiba University

  Age-period-cohort (APC) model as the mixed effects model: comparison of the hierarchical APC model and the Bayesian APC mode, Naofumi Sakaguchi, Keio University

  Small area estimation from two files linked by probabilistic record linkage, Parthasarathi Lahiri, University of Maryland, College Park

  Variable selection problem for linear mixed model under covariate shift, Yuki Kawakubo, Chiba University

  Data science applications in corporate India and beyond

  Organizer : Sourish Das, Chennai Mathematical Institute, India

  Chair : Sourish Das, Chennai Mathematical Institute, India

  Venue : Seminar Room 4

  Analytics & data science at Ford, Shibasish Dasgupta, Global Data Insight & Analytics, Ford Motor Company

  Divide and conquer approach to supervised learning using augmented trees, Rajiv Sambasivan, Chennai Mathematical Institute

  New kernels for density and regression estimation via randomized histograms, Arusharka Sen, Concordia University

  Data science applications in marketing, Kamal Sen, Cogitaas AVA

  Recent development in Bayesian biostatistics

  Organizer : Yang Ni, Texas A & M University

  Chair : Yang Ni, Texas A & M University

  Venue : Seminar Room 5

  Identifying regions of inhomogeneities in spatial processes via an m-ra and mixture priors, Veronica Berrocal, University of California Irvine

  Flexible modeling of bivariate longitudinal diagnostic outcome data, Wesley Johnson, University of California Irvine

  Some Bayesian models using binary tree ensembles for analyzing time to event data, Purushottam Laud, Medical College of Wisconsin

  A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer, Veera Baladandayuthapani, University of Michigan

  Glimpses of innovations in clinical trials

  Organizer : Arkendu Chatterjee, Merck and Co.

  Chair : Arkendu Chatterjee, Merck and Co.

  Venue : Seminar Room 11

  Design considerations for immune-oncology dose-finding studies, Cody Chiuzan, Columbia University

  A phase ii study design with continuous efficacy monitoring using hierarchical Bayesian framework to borrow information across different indications, Niladri Roy Chowdhury, Novartis Pharma

  Application of modulated markov models and modulated renewal process for analyzing clinical trial data with non-proportional hazards, Rianka Bhattacharya, Abbvie, Inc.

  Discussant : Arkendu Chatterjee, Merck and Co.

  Contributed Sessions

  Reliability and Industrial Applications

  Chair : Brijesh Kumar Singhal, Walmart Labs

  Venue : Seminar Room 12

  Ramd analysis of a microprocessor system: a case study, Ashish Kumar, Manipal University Jaipur

  Estimating number of faults in software using stochastic processes, Madhuri Kulkarni, Savitribai Phule Pune University

  Single cycle supply chain coordination model for fuzzy stochastic demand of perishable items, Maruti Bhosale, Shri Shahu Mandir Mahavidyalaya,Pune

  Software reliability modeling based on NHPP for error occurrence in each fault with periodic debugging schedule, Sudipta Das, Ramakrishna Mission Vivekananda Educational & Research Institute

  Partial backlogging inventory model for perishable items with expected demand, Sandesh Kurade, M.E.S. Abasaheb Garware College

  Availability and profit analysis of butter producing system of milk plant using supplementary variable technique, Jitender Kumar, Kurukshetra University

  Reliability analysis of non-series-parallel system of (m,n_c,l) order with Weibull failure laws, Suresh Malik, Department of Statistics, M.D.University Rohtak

• 04:00pm - 05:30pm

• Student Paper Competition Session

  Student Paper Competition - Theory and Methods

  Organizer : Subrata Kundu, George Washington University; Saonli Basu, University of Minnesota

  Chair : Saonli Basu, University of Minnesota

  Venue : Main Auditorium

  Multivariate rank-based distribution-free nonparametric testing using measure transportation, Nabarun Deb, Columbia University

  Almost sure convergence of randomized urn models with finite mean, Ujan Gangopadhyay, University of Southern California

  Sharp adaptive minimax nonparametric estimation of pure quantum states, Samriddha Lahiry, Cornell University

  Comparison of parametric and non-parametric bootstrap for extremes of random variables, Dhrubajyoti Ghosh, Washington University in St. Louis

  Adjustments of the nearest neighbor classifier in HDLSS settings, Sarbojit Roy, Indian Institute of Technology, Kanpur

  Parallel Scientific Sessions

  Invited Sessions

  Novel measurement error corrected approaches to physical activity assessment

  Organizer : Carmen Tekwe, Indiana University Bloomington School of Public Health

  Chair : Samiran Sinha, Texas A & M University

  Venue : Seminar Room 1

  Simex approach to estimation of the sparse conditional functional quantile regression with measurement error, Carmen Tekwe, Indiana University Bloomington School of Public Health

  An assessment of physical activity among children in the us using scalar-on-function regression model with measurement error, Karabi Nandy, University of North Texas Health Science Center

  A Bayesian treatment of the SMIMIC-ME model, Roger Zoh, Indiana University

  Some recent advances in times series

  Organizer : Hira L. Koul, Michigan State University

  Chair : Hira L. Koul, Michigan State University

  Venue : Seminar Room 2

  Estimators for Markov chains with missing observations, Ursula U. Muller, Texas A & M University / Universitat Hamburg

  Financial point processes: a Bayesian nonparametric approach, T.V. Ramanathan, Savitribai Phule Pune University

  Estimation pitfalls when the noise is not i.i.d., Liudas Giraitis, Queen Mary, University of London

  Non Gaussian models for co-integrating time series, Balakrishna Narayana, Cochin University of Science and Technology

  Causal Analysis: cutting edge applications and novel techniques

  Organizer : Snigdha Panigrahi, University of Michigan

  Chair : Juan Shen, Fudan University

  Venue : Seminar Room 3

  Causal inference in algorithmic fairness, Joshua Loftus, New York University

  Selective inference for effect modification, Qingyuan Zhao, University of Cambridge

  Learning fair predictors with sensitive subspace robustness, Yuekai Sun, University of Michigan

  Discussant : Zhenke Wu, University of Michigan

  Gravitational wave data analysis

  Organizer : Sourish Das, Chennai Mathematical Institute, India

  Chair : Sourish Das, Chennai Mathematical Institute, India

  Venue : Seminar Room 4

  Statistical methods used in the detection and parameter estimation of GW signals, Archana Pai, Indian Institute of Technology Bombay

  Overview of gravitational wave data analysis, K. G. Arun, Chennai Mathematical Institute

  Interfacing gravitational-wave science and statistics: challenges and opportunities, Parameswaran Ajith, International Centre for Theoretical Sciences, TIFR

  Modern Bayesian methods for biomedical applications

  Organizer : Yang Ni, Texas A & M University

  Chair : Yang Ni, Texas A & M University

  Venue : Seminar Room 5

  Bayesian regularized transfer learning for compositional data, Abhirup Datta, Johns Hopkins University

  Bayesian semiparametric longitudinal drift-diffusion mixed models for neural decision-making, Abhra Sarkar, The University of Texas at Austin

  Regression analysis of dependent binary data for estimating disease etiology from case-control studies, Zhenke Wu, University of Michigan, Ann Arbor, USA

  Bayesian analysis of longitudinal functional data, Donatello Telesca, UCLA

  Recent development of Bayesian theories

  Organizer : Yang Ni, Texas A & M University

  Chair : Anirban Bhattacharya, Texas A & M University

  Venue : Seminar Room 11

  Algorithmic convergence guarantees of variational inference, Debdeep Pati, Texas A & M University

  On the beta prime prior for scale parameters in high-dimensional Bayesian regression models, Malay Ghosh, University of Pennsylvania

  Bayesian quantile regression with a score likelihood, Naveen Naidu Narisetty, University of Illinois at Urbana-Champaign

  Advances in Bayesian computation

  Organizer : Anindya Bhadra, Purdue University

  Chair : Shariq Mohammed, University of Michigan, Ann Arbor

  Venue : Seminar Room 12

  Bayesian shrinkage for continuous & discrete data - a tale of two cities, Jyotishka Datta, University of Arkansas

  Nonparametric mixture modeling on constrained spaces, Vinayak Rao, Purdue University

  Bayesian meta-clustering of genomic data, Yingying Wei, The Chinese University of Hong Kong

  Bayesian inferences on uncertain ranks and orderings, Deborshee Sen, Duke University

• 06:00pm

• Award Ceremony, Cultural Program and Banquet

  Venue : Main Auditorium

Day 3 Agenda :

• 09:00am - 10:00am

• Plenary Session

  Plenary Session 3

  Chair : Amit Bhattacharya, Alexion Pharmaceuticals, Inc.

  Venue : Main Auditorium

  Statistical leadership in practice: Case tudies highlighting ASA, FDA, and ICH initiatives, Lisa LaVange, University of North Carolina, Chapel Hill

• 10:00am - 11:00am

• Plenary Session

  Plenary Session 4

  Chair : Veera Baladandayuathapani, University of Michigan, Ann Arbor

  Venue : Main Auditorium

  Statistical challenges in the analysis of complex responses in biomedicine, Sylvia Richardson, Cambridge Institute of Public Health

• 10:00am - 12:00pm

• Honorary Session

  C R Rao Honorary Session

  Organizer : Tapan Nayak, George Washington University

  Chair : Tapan Nayak, George Washington University

  Venue : Seminar Room 5

  A new all-purpose generic multivariate transformation with applications in multivariate modelling and missing value imputation, Ravindra Khattree, Oakland University

  Analyzing periodic and nearly periodic data: Statistical perspectives, Debasis Kundu, Indian Institute of Technology Kanpur

  TBD, Shailaja Suryawanshi, Merck & Co.

  The Trinity: Professor Mahalanobis, Dr. Rao, and the ISI, Anil Bera, University of Illinois

• 10:00am - 11:30pm

• Regular Poster Session

  Venue : Ground Floor Foyer

  A Markov model with stratified hazards for analysing clustered youth study data where frailty is present, Jayanta Deb, North-Eastern Hill University, Shillong

  Quantitative assessment of the risk of invasion by alternanthera philoxeroides in india using species distribution modelling, Jyoti Prajapati, Department of Mathematics, Institute of Chemical Technology, Mumbai

  Exact distributions of tests of outliers for moore and bilikam family of distributions, Komal Bhoria, University of Delhi

  Parameter and reliability estimation from log-logistics distribution under progressive type-ii censoring with application in guinea pig data, Kousik Maiti, National Institute of Technology Rourkela

  Statistical learning with high-dimensional mass cytometry data, Pratyaydipta Rudra, Oklahoma State University

  Issues in the analyses of large electronic record data: application to national cancer database., Rachana Lele, University of Louisville

  On nearly-unbiased estimators of a Langevin concentration, Shreyashi Basak, IIT Kharagpur

  Estimation and testing procedures for the reliability functions of Kumarswamy-g distribution based on censorings, Aditi Chaturvedi, Babasaheb Bhimrao Ambedkar University, Lucknow

  Efficiency of the zero-inflated Poisson model and the hurdle model to handle responses with excess zero counts, Amila Poddar, Parexel International (INDIA), Hyderabad

  Optimal phase ii control limits of t_r-chart for monitoring high-yield processes, Amita Baranwal, Banaras Hindu University

  Inference for LOMAX competing risk model with partially observed failure causes under generalized progressive hybrid censoring., Amulya Kumar Mahto, Indian Institute of Technology, Patna

  Statistical analysis of malnutrition and its underlying causes, Ananya Pisal, Savitribai Phlue Pune University

  A simple probabilistic proof for the alternating convolution of the central binomial coefficients, Ashok Kumar Pathak, Central University of Punjab, Bathinda

  Credit card fraud detection, Binod Jung Bogati, Tribhuvan Univeristy

  On progressively censored competing risks data from Gompertz distribution, Chandrakant Lodhi, IIT Patna

  Study of sea surface temperature over the globe using AMO index, Jyoti Bhogal, Savitribai Phule Pune University

  Modeling the impact of urbanization on biodiversity, Kshitija Bagul, Department of Statistics, Savitribai Phule Pune University.

  Estimating population coefficient of variation using a single auxiliary variable in simple random sampling, Madhulika Mishra, Banaras Hindu University

  Some generalized Poisson processes and their systems of ode's, Mostafizar Khandakar, Indian Institute of Technology Bhilai

  Parametric bootstrap based test for detecting changes in marriage patterns, Neela Gulanikar, Savitribai Pule Pune University, Pune, India

  Two - stage and sequential procedures for estimation of powers of parameter of a family of distributions, Neeraj Joshi, University of Delhi

  A piece-wise hazard analysis for under-five child mortality, Rakesh Saroj, Banaras Hindu University

  Analysis of premier league: analyzing playing styles through statistical tools & modeling the probability of success, Raunak Shevade, Savitribai Phule Pune University

  Gold, inflation, gdp and lending rate: An interesting relation, Ravi Sayyaparaju, Andhra University College of Engineering

  Modelling of dry and wet spells in Pune for Indian summer monsoon rainfall, Rutuja Kore, Department of Statistics, Savitribai Phule Pune University, Pune

  Estimation and testing procedures for the reliability characteristics of Kumaraswamy-g distributions based on the progressively first failure censored sampling, Shubham Saini, University of Delhi

  Bayesian inference for merged panel autoregressive model, Varun Agiwal, Central University of Rajasthan

  Semiparametric causal mediation modeling of semi-competing risks, Ju-Sheng Hong, Institute of Statistical Science, Academia Sinica, Taiwan

  TBD, Amalraj Nagaraj, DF

• 11:30am - 01:00pm

• Plenary Session

  Why leadership matters in quantitative disciplines

  Organizer : Amit Bhattacharya, Alexion Pharmaceuticals, Inc.

  Chair : Amit Bhattacharya, Alexion Pharmaceuticals, Inc.

  Venue : Main Auditorium

  Speakers : Lisa LaVange, UNC Chapel Hill

  Sastry Pantula, California State San Bernardino's College of Natural Sciences

  Pandu Kulkarni, Biometrics and Advanced Analytics, Eli Lilly

  Sujit Ghosh, North Carolina State University

  Ajay Sathe, Cytel India

  Parallel Scientific Sessions

  Invited Sessions

  Advances in data modeling, meta-analysis, and machine learning methods

  Organizer : A.M.M. Shahiduzzaman Quoreshi, Blekinge Institute of Technology; Arvind Shah, Merck; Taps Maiti, Michigan State University

  Chair : Arvind Shah, Merck

  Venue : Seminar Room 1

  Modelling high frequency count data for social media application, Shahiduzzaman Quoreshi, Blekinge Institute of Technology

  Application of meta-analysis in estimating the prevalence of depression among the elderly population in India, Mohan Bairwa, IIHMR University, Jaipur, India

  Spatial analysis of pm2.5 in Taiwan incorporating two types of measurements, Hsin-Cheng Huang, Institute of Statistical Science, Academia Sinica

  Sparse identification and estimation of large-scale vector autoregressive moving averages, Sumanta Basu, Cornell University

  Bayesian analysis of high dimensional complex data

  Organizer : Bani Mallick, Texas A & M University

  Chair : Shariq Mohammed, University of Michigan, Ann Arbor

  Venue : Seminar Room 2

  Bayesian monotone single-index for bounded response with functional covariates, Debajyoti Sinha, Florida State University

  Learning semiparametric regression with missing covariates using Gaussian process models, Dipak Dey, University of Connecticut

  A divide-and-conquer bayesian approach for spatio-temporal varying coefficient modeling, Rajarshi Guhaniyogi, University of California, SC

  High-dimensional multivariate geostatistics: a conjugate Bayesian matrix-normal approach, Sudipto Banerjee, UCLA

  Analysis of big remote sensing imagery : Tools and techniques

  Organizer : Pradeep Mohan, SAS Institute Inc.

  Chair : Pradeep Mohan, SAS Institute Inc.

  Venue : Seminar Room 3

  Mapping surface water globally using remote sensing data: a physics-guided data science approach, Anuj Karpatne, Virginia Tech

  Analyzing hyperspectral data using support vector data description, Arin Chaudhari, SAS Institute Inc

  Four geo-computational challenges for rapid assessment of post-disaster areas using earth observation (eo) data, Surya Durbha, Indian Institute of Technology Bombay

  Discussant : Raju Vatsavai, North Carolina State University

  Statistical advances in personalized medicine

  Organizer : Radha Railkar, Merck & Co.

  Chair : Shibasish Dasgupta, Ford Motor Company

  Venue : Seminar Room 4

  Bayesian hierarchical modeling and biomarker cutoff identification in basket trials, Guosheng Yin, University of Hong Kong

  HASS: hybrid algorithm for subgroup search in precision medicine via ADMM and EM algorithms, Peter Song, University of Michigan

  A flexible Bayesian method to individualized treatment allocation, Saptarshi Chatterjee, Eli Lilly and Company

  Learning directed acyclic graphs to identify potential markers driving response to chemotherapy in ovarian cancer based on time-course proteomics data, Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai

  Statistical inference for network structured data

  Organizer : Soumendu Sundar Mukherjee, Indian Statistical Institute, Kolkata

  Chair : Shyamal Krishna De, National Institute of Science Education and Research, India

  Venue : Seminar Room 11

  When random initializations help: a study of variational inference for community detection, Purnamrita Sarkar, University of Texas, Austin, Dept of Statistics and Data Science

  On the CUSUM changepoint estimator for network data, Sharmodeep Bhattacharyya, Oregon State University

  Superimposed block models, higher order structures and small-world property in networks, Subhadeep Paul, The Ohio State University

  Overlapping clustering models and one class SVM to bind them all, Deepayan Chakrabarti, University of Texas, Austin

  Advances in sequential methodologies

  Organizer : Sudeep Bapat, University of California, Santa Barbara

  Chair : Sudeep Bapat, University of California, Santa Barbara

  Venue : Seminar Room 12

  Data arising from destructive samples: the case of Spina bifida, Marepalli Rao, University of Cincinnati

  Fractional Poisson models and their one dimensional distributions, Kuldeep Kumar Kataria, Indian Institute of Technology Bhilai

  Sequential point estimation procedures for the parameter of a family of distributions, Ajit Chaturvedi, University of Delhi

  A new nonparametric test for two-sample location problem based under ranked set sampling, Sunil Mathur, Texas A & M University-Corpus Christi

• 01:00pm - 02:00pm

• Lunch

• 02:00pm - 03:30pm

• Parallel Scientific Sessions

  Invited Sessions

  Statistical learning methods in healthcare

  Organizer : Mousumi Banerjee, University of Michigan

  Chair : Mousumi Banerjee, University of Michigan

  Venue : Seminar Room 1

  Using real world data for research studies with focus towards changing clinical practice, Madhu Mazumdar, Icahn School of Medicine at Mount Sinai

  Hierarchical multivariate Poisson regression for characterizing the diffusion of new drugs, Sharon-Lise Normand, Harvard Medical School

  A machine learning based tandem approach to predict extubation failure in pediatric intensive care unit, Mousumi Banerjee, University of Michigan

  Model based clinical drug development: The present and future

  Organizer : Satrajit Roychoudhury, Pfizer USA

  Chair : Satrajit Roychoudhury, Pfizer USA

  Venue : Seminar Room 2

  Application of cross-validation in statistical modeling for clinical trials, Satya (Ravi) Siddani, Novartis Pharmaceuticals Corporation

  Review on model diagnostics for incomplete data, Arkendu Chatterjee, Merck and Co.

  A case study of non-inferiority Bayesian design with a meta-analytic prior to leverage historical data, Arunava Chakravartty, Novartis Pharmaceuticals Corporation

  Discussant : Amarjot Kaur, Merck Research Labs

  Multiple hypothesis testing

  Organizer : Shyamal Krishna De, National Institute of Science Education and Research, India

  Chair : Soumendu Sundar Mukherjee, Indian Statistical Institute, Kolkata

  Venue : Seminar Room 3

  Empirical adjustments to meta-analysis for large-scale simultaneous hypothesis testing in genomic experiments, Sinjini Sikdar, Old Dominion University

  Adapting BH to one- and two-way classified hypotheses, Shinjini Nandi, New York University School of Medicine

  Protecting replicability in the presence of auxiliary covariates, a multiple testing approach, Pallavi Basu, Indian School of Business

  Controlling generalized error rates of multiple testing in sequential trials, Shyamal De, National Institute of Science Education and Research, India

  Bayesian methods for high-dimensional data with complex structures

  Organizer : Yang Ni, Texas A & M University

  Chair : Rajarshi Guhaniyogi, University of California, SC

  Venue : Seminar Room 4

  Sparsity selection in high-dimensional Bayesian vector autoregressive models based on a pseudo-likelihood approach, Kshitij Khare, Department of Statistics, University of Florida

  Some recent developments in the supervised generalized symmetric tensor modeling, Sharmistha Guha, Duke University

  Bayesian integrative analysis method with incorporation of grouping information, Thierry Chekouo, University of Calgary

  Reliability theory and its applications

  Organizer : Amarjit Kundu, Raiganj University

  Chair : Amarjit Kundu, Raiganj University

  Venue : Seminar Room 12

  On relative ageing of coherent systems, Nil Kamal Hazra, Indian Institute of Technology Jodhpur

  Reliability study of series and parallel systems of heterogeneous component lifetimes following proportional odds model, Pradip Kundu, Birla Institute of Technology Mesra

  Optimum life test plan for censored Weibull distributed products sold under general rebate warranty, Shovan Chowdhury, Indian Institute of Management Kozhikode

  Comparison of two parallel systems under random shock, Amarjit Kundu, Raiganj University

  Contributed Sessions

  Probability and Mathematical Statistics

  Chair : Sayantee Jana, Indian Institute of Management, Nagpur

  Venue : Seminar Room 5

  On limit laws for normalized order statistics., Sreenivasan Ravi, University of Mysore

  Revisiting non-regularity of generalized exponential distribution through product of spacings, Suparna Basu, University of Burdwan

  Residual stochastic precedence order, Amit Kumar Misra, Babasaheb Bhimrao Ambedkar University Lucknow

  The containment profile of hyperrecursive trees, Srinivasan Balaji, George Washington University

  Time dependent analysis of an m/m/? queueing system with catastrophes, Gulab Singh Bura, Banasthali Vidyapith Rajasthan

  Study of quantile version of Renyi entropy of order statistics, Vikas Kumar, UIET, M. D. University Rohtak

  Data Science

  Chair : Sanjeev Kumar Tomer, Banaras Hindu University

  Venue : Seminar Room 11

  The ACCELOM genomic data science platform, Raja Appuswamy, Eurecom

  Can controlling for compliance in a data with non-response under different missing data mechanism improve the estimate, a comparison and deep dive., Sarfaraz Sayyed, Novartis Healthcare Pvt Ltd

  Role and essence of PKPD data, Sanjeeva Thalla, Genpro Life sciences India Pvt Ltd

  The r- thing in ir: methodological investigation into teaching of international relations, Ambrish Dhaka, Jawaharlal Nehru University

  Enhancing knowledge and innovations in the shifting world of statistics and data science, Uma Govindaraj, PSG College of Arts & Science

  Beyond predictions: actionable and interpretable rules from machine learning models, Srikanth Komala Sheshachala, Sling Media

  Application of multiple testing procedures for assessing multiple comorbidities in big health-administrative data, Sayantee Jana, Indian Institute of Management, Nagpur

• 02:00pm - 05:00pm

• Memorial Session

  P Bhimasankaram Memorial Session

  Organizer : Bikas Sinha, Indian Statistical Institute, Kolkata

  Chair : Bikas Sinha, Indian Statistical Institute, Kolkata

  Venue : Main Auditorium

  Improving linear quantile regression for replicated data, Debasis Sengupta, Indian Statistical Institute

  Statistical methods for cost-effectiveness analysis: A brief review, Thomas Mathew, University of Maryland Baltimore County

  De la Garza phenomenon and linear regression, Bikas Sinha, Indian Statistical Institute

  Applications of incomplete block designs in agricultural research, Rajender Parsad, ICAR-IASRI

  Waiting time until success, Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis

• 04:00pm - 05:35pm

• Parallel Scientific Sessions

  Invited Sessions

  Statistical considerations in data privacy

  Organizer : Pallavi Chitturi, Temple University

  Chair : Pallavi Chitturi, Temple University

  Venue : Seminar Room 1

  Sub-linear privacy preserving search and record linkage over unsecure servers., Anshumali Shrivastava, Rice University

  Private stochastic convex optimization with optimal rates (virtual presentation), Rebecca Stoerts, The Ohio State University

  Discrete choice experiments in network security and data privacy, Pallavi Chitturi, Temple University

  Some innovative applications in high-dimensional data analysis

  Organizer : Subharup Guha, University of Florida

  Chair : Subharup Guha, University of Florida

  Venue : Seminar Room 2

  Strong privacy-preserving data collection using triple matrix-masking, Samuel Wu, University of Florida

  Simultaneous prediction intervals for high-dimensional vector autoregressive model, Sayar Karmakar, University of Florida

  Mediation analysis for zero-inflated mediators with applications to microbiome data, Zhigang Li, University of Florida

  Bayesian nonparametric differential analysis for dependent multigroup data with application to DNA methylation analyses, Subhararup Guha, University of Florida

  Statistical remedies for late separation of survival curves in clinical trials

  Organizer : Suvajit Samanta, Abbvie Inc

  Chair : Suvajit Samanta, Abbvie Inc

  Venue : Seminar Room 3

  Dilemma in selecting analytical methods under non-proportional hazards, Amarjot Kaur, Merck Research Labs

  Robust design and analysis of clinical trial with non-proportional hazards: a straw man guidance from cross-pharma working group, Satrajit Roychoudhury, Pfizer Inc.

  Application of weighted log-rank test in clinical trial, Suvajit Samanta, Abbvie Inc

  Discussant : Sanjib Basu, University of Illinois, Chicago

  Data science in climate, monsoons, and beyond

  Organizer : Ansu Chatterjee, University of Minnesota

  Chair : Ansu Chatterjee, University of Minnesota

  Venue : Seminar Room 4

  Improvements in the prediction of monsoon characteristics with physics guided data driven models, Subimal Ghosh, IIT Bombay

  Identifying spatial and temporal patterns of climatic variables using Markov random field, Adway Mitra, IIT Kharagpur

  Towards understanding of single and compound flood extremes in the anthropocene, Poulomi Ganguli, Indian Institute of Technology Kharagpur

  Different methods to improving returns from search engine marketing using domain expertise, google adwords, clustering and text mining – a joint teaching effort between data sciences and marketing departments of marshall school of business, Arif Ansari, University of Southern California

  Contributed Sessions

  Bayesian Statistics

  Chair : Suparna Basu, University of Burdwan

  Venue : Seminar Room 5

  Estimating parameters for multi-state series and parallel systems having random degradation rates using Bayesian gmm, Leena Kulkarni, NMIMS's Sunandan Divatia School of Science

  Robust Bayesian analysis of lifetime data under competing risk model, Sanjeev Kumar Tomer, Banaras Hindu University

  Minimax restricted generalized Bayes estimation for a spatial autoregressive model, Anoop Chaturvedi, University of Allahabad

  Structural break in disturbances precision and autoregressive parameter in dynamic model: a Bayesian approach, Arvind Shrivastava, Reserve Bank of India

Day 4 Agenda :

• 09:00am - 10:20am

• Special Invited Session

  Special Invited Session 3

  Chair : Amarjot Kaur, Merck Research Labs

  Venue : Main Auditorium

  Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint, Satrajit Roychoudhury, Pfizer USA

  Beyond black boxes: Infusing structure into deep earning, Anima Anandkumar, California Institute of Technology

• 11:30am -01:00pm

• Parallel Scientific Sessions

  Invited Sessions

  Advances in random matrix theory

  Organizer : Debashis Paul, University of California, Davis

  Chair : Debashis Paul, University of California, Davis

  Venue : Main Auditorium

  Spectra of adjacency and Laplacian matrices of inhomogeneous Erdos-Renyi graphs, Arijit Chakrabarty, Indian Statistical Institute, Kolkata

  Spectral estimation for high-dimensional linear processes, Jamshid Namdari, University of California Davis

  Asymptotics of large autocovariance matrices, Monika Bhattacharjee, IIT Bombay

  On spectral distribution estimation by exponential tilting, Sanjay Chaudhuri, National University of Singapore

  Non-parametric methods and learning theory

  Organizer : Bharath Sriperumbudur, The Pennsylvania State University

  Chair : Shyamal Krishna De, National Institute of Science Education and Research, India

  Venue : Seminar Room 1

  Some new insights on transfer learning, Samory Kpotufe, Columbia University

  Kernel methods for distribution representation, Arthur Gretton, Gatsby Computational Neuroscience Unit

  Berry-Esseen bounds for stochastic gradient descent, Krishnakumar Balasubramanian, University of California, Davis

  Orlicz Fourier features, Zoltan Szabo, CMAP, Ecole Polytechnique

  Statistical analysis of data with complex spatial and network structures

  Organizer : Soutir Bandyopadhyay, Colorado School of Mines

  Chair : Soutir Bandyopadhyay, Colorado School of Mines

  Venue : Seminar Room 2

  Spatial analysis, a big picture: from the big bang to human civilization to spread of cholera to PCM to the frontier of spatial econometrics., Anil Bera, University of Illinois at Urbana-Champaign

  On relationships between spatial extremes, Snigdhansu Chatterjee, University of Minnesota

  Identification of clusters in space based on lattice data, Jun Zhu, University of Wisconsin - Madison

  Nonparametric regression with network data, Swati Chandna, Birkbeck University of London

  Novel methods in biostatistics

  Organizer : Aditi Sapre, Merck

  Chair : Shibasish Dasgupta, Ford Motor Company

  Venue : Seminar Room 3

  Some strategies for defining non-inferiority bounds in active-controlled trials with no placebo-controlled data for the active comparator, Aditi Sapre, Merck

  Sociolinguistics and the diffusion of the Indo-Arabic numerical system in antiquity, Craig Molgaard, College of Public Health, University of Arkansas for Medical Sciences

  Novel statistical methods for selecting differentially expressed genes in microarray experiments, N. Rao Chaganty, Old Dominion University

  Bayesian statistical applications in management

  Organizer : Karthik Sriram, Indian Institute of Management Ahmedabad

  Chair : Karthik Sriram, Indian Institute of Management Ahmedabad

  Venue : Seminar Room 4

  Bayesian stochastic volatility model for dynamic leverage effect, Sujay Mukhoti, Indian Institute of Management Indore

  Bayesian methods in statistical ecology, Soumen Dey, Indian Statistical Institute, Kolkata

  Inference based on progressive type-i interval censored data with competing risks, Soumya Roy, Indian Institute of Management Kozhikode

  A new perspective from a Dirichlet model for forecasting outstanding liabilities of nonlife insurers, Karthik Sriram, Indian Institute of Management Ahmedabad

  Recent developments in statistical methods for health sciences

  Organizer : Santu Ghosh, Augusta University (Medical College of Georgia)

  Chair : Satrajit Roychoudhury, Pfizer USA

  Venue : Seminar Room 5

  Modelling zero inflated disease data: a case study of Indian dengue., Siuli Mukhopadhyay, IIT Bombay

  On the effect of prior distribution in Bayesian non-inferiority, Arpita Chatterjee, Georgia Southern University

  Some aspects of SMART design: methodological developments and an application in non-inferiority trial, Samiran Ghosh, Wayne State University School of Medicine

  Smoothed bootstrap simultaneous false coverage rate-adjusted confidence intervals for selected parameters, Santu Ghosh, Augusta University (Medical College of Georgia)

  Nonparametric procedures and applications

  Organizer : Digambar Shirke, Shivaji University, Kolhapur

  Chair : Digambar Shirke, Shivaji University, Kolhapur

  Venue : Seminar Room 11

  On testing the load sharing effect in a two component parallel system, Santosh Sutar, Shivaji University, Kolhapur

  A nonparametric control chart for process dispersion based on sequential sampling, Shashibhushan Mahadik, Shivaji University, Kolhapur

  Depth based graphical tool and related tests for multivariate multi-sample location problem, Somanath Pawar, Shivaji University, Kolhapur

  Effect of autocorrelation on multivariate synthetic control chart, Vikas Ghute, P.A.H. Solapur University Solapur (MS) India

  Contributed Sessions

  Survival Analysis

  Chair : Vishal Deo, University of Delhi

  Venue : Seminar Room 12

  A bivariate inverse Weibull distribution and its application in complementary risks model, Shuvashree Mondal, ISI Kolkata

  Sexwise life table of 1951 birth cohort of urban India and Assam, Bagsmrita Bhagawati, B.H. College, Howly

  Estimation and prediction for the generalized half normal distribution under hybrid censoring, Farha Sultana, ISI Kolkata

  Regression of censored outcomes: a pseudo-value approach, Sandipan Dutta, Old Dominion University

  Estimation of stress strength reliability for a class of life time distribution, Mayank Vaish, Central University of Rajasthan

  Current status data with computing risks in survival analysis, Ramaiyan Elangovan, Department of Statistics, Annamalai University

• 01:00pm - 02:00pm

• Lunch

• 03:30am - 07:30am

• Workshop

  Workshop on Quantile Regression

  Course Facilitators : Professor Roger Koenker, University of Illinois at Urbana Champaign and University College London,

  Professor Lan Wang, University of Minnesota,

  Assistant Professor Naveen N. Narisetty, University of Illinois at Urbana-Champaign

  Venue : Seminar Room 1