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