Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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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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