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Activity Details

652 Thu, 8/8/2013, 8:30 AM - 10:20 AM CC-510b
Nonparametric and Semiparametric Bayesian Methods — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Lane Burgette, RAND Corporation
8:35 AM Computational Techniques for High-Dimensional Nonparametric Bayes Anjishnu Banerjee
8:50 AM Detecting Local Two-Sample Differences with Divide-Merge Optional Polya Trees: A Genetic Association Study Application Jacopo Soriano, Duke University ; Li Ma, Duke University
9:05 AM Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes Bin Zhu, Biostatistics Branch, DCEG, NCI ; David B. Dunson, Duke University
9:20 AM A Bayesian Semiparametric Approach to the Instrumental Variables Problem with a Binary Treatment or Outcome Jessica Pruszynski, Medical College of Wisconsin ; Purushottan Laud, Medical College of Wisconsin ; Rodney Sparapani, Medical College of Wisconsin ; Robert E. McCulloch, The University of Chicago Booth School of Business
9:35 AM Gaussian Process--Based Semiparametric Bayesian QTL Mapping for Longitudinal Data Wonil Chung, The University of North Carolina at Chapel Hill ; Fei Zou, The University of North Carolina at Chapel Hill
9:50 AM A Semiparametric Bayesian Model for Longitudinal Data: The Cluster Memory Dirichlet Process Mixture Model Robert E Weiss, University of California, Los Angeles ; Yuda Zhu, Genentech
10:05 AM Floor Discussion

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