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
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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?
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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
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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
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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 (University of Georgia, Athens): Robust Bayesian Small Area Estimation for Area-Level Data
Nilabja Guha (University of Maryland Baltimore County): A Distribution Free Approach in Prediction of Ordered Random Effects
Banquet and reception (7:00pm-10:00pm) Location: College Park Marriott and Conference Center
Saturday May 31, 2014
Breakfast and Registration (7:30am-8:30am)
Plenary Session 7 (8:30am-10:30am) Higher Order Asymptotics Chair: Jiming Jiang (University of California, Davis)
Thomas Severini (Northwestern University): Some Properties of Inferences Based on an Integrated Likelihood Function
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Discussant: Nancy Reid (University of Toronto, Canada)
Donald Fraser (University of Toronto, Canada): How SP and continuity determine statistical inference
Discussant: Judith Rousseau (Paris Dauphine University, France)
Coffee Break (10:30am-11:00am)
Plenary Session 8 (11:00am-12:30pm) Ranking in Small Area Estimation Chair: J.N.K. Rao (Carleton University, Canada)
Thomas Louis (U.S. Census Bureau and Johns Hopkins University): Bayesian Ranks, Histograms, and Triple-goal Estimates
Discussant: Carl Morris (Harvard University)
Lunch Break (12:30pm-2:00pm)
Plenary Session 9 (2:00pm-3:30pm) Bayesian Methods Chair: Kannan Natarajan (Novartis Pharmaceuticals)
James Zidek (University of British Columbia, Canada): BS in Britain: Mitigating the effects of preferentially selected monitoring sites for inference and policy
Bradley Carlin (University of Minnesota): Commensurate Prior Constructs for Flexibly Borrowing Strength from Historical and other Supplemental Information
Glen Meeden (University of Minnesota): More efficient inferences using ranking information obtained from judgment sampling
Coffee Break (3:30pm-4:00pm)
Invited Session 6 (4:00pm-5:30pm) Chair: TBA
Ralf Muennich (University of Trier, Germany): Small area estimation of the at-risk-of- poverty rate in a design-based environment
Robert Fay (Westat): Developing Tools for Small Area Estimation
William R. Bell (US Census Bureau): Developing Tools for Small Area Estimation
Yan Li (JPSM, University of Maryland, College Park): Haplotype-based statistical inference for population-based cross-sectional or case-control studies with complex sample designs 7
Changbao Wu (University of Waterloo, Canada): Bayesian Pseudo Empirical Likelihood Inferences from Complex Survey Data
Bhramar Mukherjee (University of Michigan, Ann Arbor): Shrinkage methods for incorporating auxiliary information in regression models with many predictors
Invited Session 7 (4:00pm-5:30pm) Chair: TBA
Bertrand Clarke (University of Nebraska, Lincoln): A simple Bayes testing approach to metagenomic profiling in bacteria
Ming-Hui Chen (University of Connecticut, Storrs): Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival data with Applications to Cancer Clinical Trials
Dipak K. Dey (University of Connecticut, Storrs): Bayesian Inference Using Bregman Divergence Measures
Jiming Jiang (University of California, Davis): Consistency of MLE in GLMM: Answer to an Open Problem and Beyond
Abram Kagan (University of Maryland, College Park): On the structure of UMVUEs
Tapabrata Maiti (Michigan State University): Functional Mixed Effects Model for Small Area Estimation
Contributed Session 2 (4:00pm-5:30pm) Chair: Myron Katzoff (SAMSI, North Carolina)
Gyuhyeong Goh (University of Connecticut, Storrs): Bayesian Modeling for Sparse High- Dimensional Data using Divergence Measures
Tracy Sweet (University of Maryland, College Park): Hierarchical Network Models
Wei Wang (Columbia University): Forecasting Elections with Non-Representative Polls
Hanzhi Zhou (University of Michigan, Ann Arbor): Multiple Imputation in Complex Sample Surveys Using the Weighted Finite Population Bayesian Bootstrap
Bo Lu (The Ohio State University): Estimating Causal Effects in Complex Surveys using Propensity Score Stratification and Weighting
Sixia Chen (Westat): A unified Jackknife Empirical Likelihood based Inference with Regression Imputation, Propensity Score Weighting for Missing Data
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