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Activity Details

302 Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-311
Bayesian Modeling — Contributed Papers
Section on Statistical Computing
Chair(s): Susheela Singh, North Carolina State University
8:35 AM Infinite Mixture of Multinomial Distribution Approximation for Incomplete Categorical Data Chaojie Wang, The Chinese Univ of Hong Kong
8:50 AM A Mixture of Gaussian and Student's T Errors for a Robust and Accurate Parameter Estimation Hyungsuk Tak, SAMSI ; Justin A. Ellis, Jet Propulsion Laboratory ; Sujit K Ghosh, North Carolina State University
9:05 AM Sequential Monte Carlo for Dynamic Latent Space Networks Kathryn Turnbull, Lancaster University ; Matthew Nunes, Lancaster University ; Christopher Nemeth, Lancaster University ; Tyler McCormick, University of Washington
9:20 AM Bayesian Inference in the Presence of Intractable Normalizing Functions Jaewoo Park, Penn State University
9:35 AM Hybrid Adaptive MCMC Block Sampling Daniel Turek, Williams College ; Nicholas Michaud, University of California, Berkeley
9:50 AM The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models Birgir Hrafnkelsson, University of Iceland ; Dan Simpson, University of Bath ; Oli Pall Geirsson, University of Iceland
10:05 AM A Simple, Fast Sampler for Simulating Spatial Data and Other Markovian Data Structures Andrea Kaplan, Iowa State University ; Mark Kaiser, Iowa State University ; Soumendra N Lahiri, North Carolina State University ; Daniel Nordman, Iowa State University
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