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Conference Program Conference Program All the technical talks and the conference banquet will be held in College Park Marriott and Conference Center. Reception on Wednesday (5:30-7:30 pm) and reception/poster session on Thursday (6:00- 8:00 pm) will be held in Grand Atrium (first floor), Van Munching Hall (UMD Smith Business School). Please revisit the conference website for last minutes change in the conference program. Wednesday May 28, 2014 Reception (5:30pm-7:30pm) Location: Grand Atrium (first floor), Van Munching Hall (UMD Business School) Thursday May 29, 2014 Breakfast and Registration (7:00am-8:00am) Location: First floor, College Park Marriott and Conference Center Welcome Session (8:00am-8:30am) Plenary Session 1 (8:30am-10:30am): Performance by the Ghosh Septuplets Chair: David Nickerson, University of Central Florida Nitis Mukhopadhyay (University of Connecticut, Storrs): Personal Recollections from the First PhD Student of Professor Malay Ghosh Sounak Chakraborty (University of Missouri, Columbia): Bayesian Kernel-Based Modeling and Selection of Genetic Pathways and Genes for Cancer. Rebecca Steorts (Carnegie Mellon University): Will the Real Malay Ghosh Please Stand Up: A Probabilistic Approach to Graphical Record Linkage. Samiran Sinha (Texas A&M University): Semiparametric Analysis of Linear Transformation Models with Covariate Measurement Errors Doug Sparks (Stanford University): Shrinkage via Limits of Bayesian Lassos Debashis Ghosh (Pennsylvania State University): Multiple comparisons, false discovery control and James-Stein estimation 1 Coffee Break (10:30am-11:00am) Plenary Session 2 (11:00am-12:30pm): Current Trends in Small Area estimation Chair: Jane Meza (University of Nebraska Medical Center, Omaha) J. N. K. Rao (Carleton University, Canada): Some Current Trends in Small Area Estimation Discussants: Graham Kalton (Westat) Danny Pfeffermann (Government of Israel) Lunch Break (12:30pm-2:00pm) Plenary Session 3 (2:00pm-3:30pm) Chair: Yan Li (JPSM, University of Maryland, College Park) Pranab K. Sen (University of North Carolina, Chapel Hill): Survey sampling - a must for environmental health studies Sanat K. Sarkar (Temple University): Multiple Testing of Grouped Hypotheses: A Decision Theoretic Approach Three-minute poster presentation: Silvia Polettini: (University of Rome, La Sapienza, Rome, Italy) Shibasish Dasgupta (University of Washington,) Daniel Bonnéry (JPSM, University of Maryland, College Park) Neung Soo Ha (SAMSI, North Carolina) Dooti Roy (University of Connecticut, Storrs) Yuriy Sverchkov (University of Pittsburg) Alaka Padhye (Indian Statistical Institute, Chennai) Andreea Erciulescu (Iowa State University) Liang Ting Tsai (National Taichung University, Taiwan) Coffee Break (3:30pm-4:00pm) Invited Session 1 (4:00pm-5:30pm) Chair: Michael Larsen (George Washington University) Nikolay Bliznyuk (University of Florida, Gainesville): Objective Bayesian Variable Selection in Well-Formulated Models Sudip Bose (George Washington University): Do all members of a population share a property? A Bayesian approach Huilin Li (New York University): Efficient Rare Variant Association Test in Case-control Studies 2 Sunil Rao (University of Maimi): The Invisible Fence Method for the Identification of Differentially Expressed Gene Sets Alan Zaslavsky (Harvard University): Hierarchical Bayesian Exploratory Factor Analysis for geographical variations in health care utilization Kshitij Khare (University of Florida, Gainesville): Methods for Robust High Dimensional Graphical Model Selection Invited Session 2 (4:00-5:30pm) Small Area Estimation Chair: John Eltinge (US Bureau of Labor Statistics) Karabi Nandy (University of California, Los Angeles): State-level Small Area Estimates of Smoking Prevalence Among Nurses: An Analysis of the Tobacco-Use Supplement to the Current Population Survey 2010 Abhyuday Mandal (University of Georgia, Athens): Robust Bayesian Small Area Estimation for Area-Level Data Isabel Molina (Universidad Carlos III de Madrid, Spain): Empirical best small area estimation under a nested error linear regression model with log transformation Mahmoud Torabi (University of Manitoba, Canada): Spatial generalized linear mixed models in small area estimation Snigdhansu Chatterjee (University of Minnesota): Big Data in Small Climatic Areas: a study of mixed-source variability and dependence in precipitation data over India Domingo Morales (Universidad Miguel Hernandez de Elche-CIO, Spain): Poisson mixed models and empirical best prediction of totals of rural fires. Invited Session 3 (4:00-5:30pm): Small Area Estimation Chair: TBA Marcin Szymkowiak (Poznan University of Economics, Poland): Application of Small Area Estimation Techniques to Urban Audit – Polish Experiences Thuan Nguyen (Oregon Health & Science University): Observed Best Prediction for Small Area Counts Ralph Folsom (RTI International): Robust Small Area Estimation with Additive Random Coefficient (ARC) Models Tomasz Żądło (University of Economics at Katowice, Poland): Is MSE a good thing? 3 Fernando Moura (UFRJ, Brazil): Robust Hierarchical Bayesian Analysis applied to small area estimation Linda Young (USDA-NASS): The Statistical Foundation of the U.S. Census of Agriculture: Present and Future Challenges Poster Session and Reception (6:00-8:00pm) Location: Grand Atrium (first floor), Van Munching Hall (UMD Business School) Friday May 30, 2014 Breakfast and Registration (7:30am-8:30am) Plenary Session 4 (8:30am-10:30am) Panel Discussion on Bayesian Model Uncertainty Chair: Gauri S. Datta (University of Georgia, Athens) Panelists: James O. Berger (Duke University) Mike Daniels (University of Texas at Austin) Edward I. George (University of Pennsylvania) Jayanta K. Ghosh (Purdue University) Brunero Liseo (University of Rome, Italy) Coffee Break (10:30-11:00am) Plenary Session 5 (11:00am-12:30pm) What is the Future of Bayesian Methods in Sample Surveys? Chair: Partha Lahiri (JPSM, University of Maryland, College Park) Roderick J.A. Little (University of Michigan, Ann Arbor): Calibrated Bayes for Inference in Official Statistics: Barriers to Adoption Joseph Sedransk (JPSM, University of Maryland, College Park): Practical Bayesian Finite Population Inference for Small Geographical Areas and Subpopulations Using Unit Level Models for Binary Outcomes Discussant: Nathaniel Schenker (US National Center for Health Statistics) Lunch Break (12:30pm-2:00pm) Plenary Session 6 (2:00pm-3:30pm) Chair: Richard Valliant (JPSM and University of Michigan, Ann Arbor) Xihong Lin (Harvard University): Test for Rare Variants by Environment Interactions in Sequencing Association Studies 4 Muni Srivastava (University of Toronto, Canada): A Sphericity Test For A High Dimensional Covariance Matrix under Non-Normality Bimal Sinha (University of Maryland Baltimore County): Likelihood-Based Finite Sample Inference for Synthetic Data Based on Normal and Linear Regression Models Coffee Break (3:30pm-4:00pm) Invited Session 4 (4:00pm-5:30pm) Bayesian Methods Chair: Mei-Ling Lee (University of Maryland, College Park) Dongchu Sun (University of Missouri, Columbia): Formal Definition of Reference Priors under a General Class of Divergence Zhihua Su (University of Florida, Gainesville): Envelopes and partial least squares regression Sujit Ghosh (North Carolina State University and National Science Foundation): Semi- parametric Hierarchical Models for Longitudinal Data Subject to Shape Constraints James Hobert (University of Florida): The Polya-Gamma Gibbs Sampler for Bayesian Logistic Regression is Uniformly Ergodic Hani Doss (University of Florida, Gainesville): Inference for the Number of Topics in the Latent Dirichlet Allocation Model via a Pseudo-Marginal Metropolis-Hastings Algorithm Bani Mallick (Texas A&M University): Bayes Covariance Selection in High Dimensions Invited Session 5 (4:00pm-5:30pm) Topics in Survey Sampling, contingency tables and multivariate analysis Chair: Frauke Kreuter (JPSM, University of Maryland, College Park) Philip Kott (RTI International): A New Look at Calibration Weighting When There are More Calibration Variables Than Model Variables Eric Slud (University of Maryland, College Park and Census Bureau): Survey Estimating Equations under Nonstandard MAR Models Michael Elliott (JPSM and University of Michigan, Ann Arbor): Weight Trimming for Generalized Linear Models using Laplace Priors Sanjay Chaudhuri (National University of Singapore): A Conditional Empirical Likelihood Based Bayesian Method for Complex Survey Data 5 Balgobin Nandram (WPI): A Bayesian Test of Independence for Sparse Two-Way Contingency Tables Ashis Sengupta (Indian Statistical Institute): Inference for Mean Directions of Several Circular and Spherical Distributions Contributed Session 1 (4:00pm-5:30pm) Survey Sampling Chair: TBA Matt Williams (USDA-NASS): Graphical Tools for Achieving Range Restrictions and Benchmark Constraints for Sample Weight Calibration Daoying Lin (Capital One): Exploiting Gene-Environment Independence in Haplotype-Based Inferences for Population-Based Case-Control Studies with Complex Sampling Sujay Datta (University of Akron): Meta-Analysis of Expression Data: Some Competing Approaches Haim Bar (University of Connecticut, Storrs): An Empirical Bayes Approach to Variable Selection and QTL Analysis Benmei Liu (National Cancer Institute): Small Area Estimation for the Tobacco-Use Supplement to the Current Population Survey Yongku Kim (Kyungpook National Univeristy, South Korea): Nonparametric Bayesian analysis for multi-site hidden Markov model Adrijo Chakraborty
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