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236 * Mon, 8/4/2014, 2:00 PM - 3:50 PM CC-153A
Bayesian Inference for Large-Scale and High-Dimensional Data — Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Naveen Naidu Narisetty, University of Michigan   
2:05 PM Bayesian Multiple Classification with Frequent Pattern Mining Wensong Wu, Florida International University ; Tan Li, Florida International University
2:20 PM A Prior-Robust Posterior Distribution for Empirical Bayes Analysis of a Large Number of Parallel Effects Jiangang Liao
2:35 PM A Hierarchical Mixture Model for State-Space Inference and Clustering Chandler Zuo, University of Wisconsin-Madison ; Sunduz Keles, University of Wisconsin-Madison
2:50 PM Sparse Latent Factor Models with Interactions: Analysis of Gene Expression Data Vinicius Mayrink, UFMG ; Joseph Lucas, Quintiles/Duke University
3:05 PM Multiple Imputation and Multidimensionality in Large-Scale Educational Assessments Lauren Harrell ; Thomas Belin, University of California, Los Angeles ; Li Cai, University of California, Los Angeles/CRESST
3:20 PM Bayesian Analysis of Dynamic Factor Models: An Ex-Post Approach Toward the Rotation Problem Christian AƟmann ; Jens Boysen-Hogrefe, Institute for World Economics ; Markus Pape, University of Cologne
3:35 PM Making the Cut: Improved Ranking and Selection for Large-Scale Inference Nicholas Henderson ; Michael Newton, University of Wisconsin



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