Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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422
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Tue, 8/1/2017,
2:00 PM -
2:45 PM
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CC-Halls A&B
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SPEED: Section on Bayesian Statistical Science — Contributed Poster Presentations
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Section on Bayesian Statistical Science , IMS
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Chair(s): Jessi Cisewski, Yale University
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The Speed portion will take place during Session 214517
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1:
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Bayesian Models for Automatic Landmark Detection on Elastic Curves
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Justin Strait, Department of Statistics, The Ohio State University ; Oksana A Chkrebtii, The Ohio State University ; Sebastian Kurtek, The Ohio State University
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2:
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Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
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Junhao Liu, University of Kansas Medical Center ; Yu Jiang, School of Public Health, University of Memphis ; Jo Wick, University of Kansas Medical Center ; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
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3:
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A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
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Deborah Kunkel, The Ohio State University ; Kevin Potter, University of Massachusetts ; Trisha Van Zandt, The Ohio State University ; Peter F Craigmile, The Ohio State University ; Mario Peruggia, The Ohio State University
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6:
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A Bayesian Sequential Design with Adaptive Randomization for Two-Sided Hypothesis Tests
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Qingzhao Yu, Louisiana State University Health Sciences Center ; Lin Zhu, Louisiana State University Health Sciences Center ; Han Zhu, Pharmaceutical Product Development, Inc.
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7:
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Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
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Yinge Sun, University of Virginia ; Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
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9:
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Hyperparameter Selection for the Latent Dirichlet Allocation Model
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Wei Xia, University of Florida ; Hani Doss, University of Florida
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11:
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Multi-Way Interacting Regression via Factorization Machines
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Mikhail Yurochkin ; Long Nguyen, University of Michigan ; Nikolaos Vasiloglou, Infor
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12:
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Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
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Dootika Vats, University of Minnesota
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13:
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A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
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Cristian Meza, CIMFAV-Universidad de Valparaíso ; Meili Baragatti, SupAgro-INRA ; Karine Bertin, CIMFAV-Universidad de Valparaíso ; Emilie Lebarbier, AgroParisTech
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14:
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Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
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Shirley Liao ; Corwin Zigler, Harvard University
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15:
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
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Sameer Kirtikumar Deshpande, The Wharton School ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
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16:
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Partioning Priors for Spatiotemporal Multiscale Models
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Andrew Hoegh, Montana State University
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18:
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Bayesian Clustering on Stiefel Manifolds
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Ritendranath Mitra ; Subhajit Sengupta, NorthShore University Health System ; Subhadip Pal, University of Louisville
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