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     Activity Details
    
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             417 !
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             Wed, 8/10/2022,
                10:30 AM -
                12:20 PM 
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                    CC-204A
                
            
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            Statistical Methods for Discovering Latent Structures in High-Dimensional and Complex Data — Topic Contributed Papers
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            Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science 
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            Organizer(s): Zehang Richard Li, UCSC
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            Chair(s): Zhenke  Wu, University of Michigan, Ann Arbor
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                            10:35 AM 
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                            Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data
                            
                             
                            Yuqi  Gu, Columbia University; David   Dunson, Duke University 
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                            10:55 AM 
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                            Statistical Neuroscience in the Single Trial Limit
                            
                             
                            Scott  Linderman, Stanford University 
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                            11:15 AM 
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                            Latent Class Models for Prevalence Estimation of Emerging Diseases Using Verbal Autopsy Data
                            
                             
                            Zehang Richard Li, UCSC 
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                            11:35 AM 
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                            Exploration of Latent Structure in Test Review and Revision Log Data
                            
                             
                            Susu  Zhang, University of Illinois at Urbana-Champaign; Anqi  Li, University of Illinois at Urbana-Champaign; Shiyu  Wang, University of Georgia 
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            11:55 AM
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            Discussant: Elena  Erosheva, University of Washington 
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        12:15 PM
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        Floor Discussion
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