JSM 2012 Online Program
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Online Program HomeActivity Details
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352 | Tue, 7/31/2012, 10:30 AM - 12:20 PM | CC-Sails Pavilion | |
Contributed Oral Poster Presentations: Section on Bayesian Statistics — Contributed Poster Presentations | |||
Section on Bayesian Statistical Science | |||
Chair(s): Chii-Dean Lin, San Diego State University | |||
01: | A New Bayesian Lasso — Himel Mallick, The University of Alabama at Birmingham ; Nengjun Yi, The University of Alabama at Birmingham | ||
02: | Adaptive Bayesian Multivariate Density Estimation with Dirichlet Mixtures — Weining Shen, North Carolina State University | ||
03: | Bayesian Nonparametric Estimation of Demographic Histories: A Phylodynamic Approach — Julia Palacios, University of Washington ; Vladimir N Minin, University of Washington | ||
04: | Multiple Feller Operators and Mixture Priors for the Spectral Density Function of a Random Field — Xiang Zhang | ||
05: | Positive Trait Item Response Models — Joseph Lucke, SUNY at Buffalo | ||
06: | A Prior for Partial Autocorrelation Selection — Jeremy Gaskins, University of Florida ; Michael Daniels, University of Florida | ||
07: | Improving the Decisionmaking Process in Lead Compound Identification Using Bayesian Statistics — Jo Wick, University of Kansas Medical Center | ||
08: | Analyzing Spatial Directional Data Using Projected Normal Processes — Fangpo Wang, Duke University ; Alan Gelfand, Duke University | ||
09: | Iaseq: Integrating Multiple ChIP-Seq Data Sets for Detecting Allele-Specific Binding — Yingying Wei, The Johns Hopkins University ; Xia Li, Beijing Institute of Genomics ; Hongkai Ji, The Johns Hopkins University | ||
10: | Bayesian Variable Selection as a Complete Graph Model — Zaili Fang, Virginia Tech ; Inyoung Kim, Virginia Tech | ||
11: | Parallel Particle Learning for Bayesian Asset Price Prediction — Kenichiro McAlinn, Keio University ; Teruo Nakatsuma, Keio University ; Hiroaki Katsura, Keio University | ||
12: | Bayesian Online Ranking Using W-Stein's Identity — Chiu-Hsing Weng, National Chengchi University | ||
14: | A Novel Nonparametric Prior Based on Transformed Bernstein Polynomial — Yuhui Chen ; Timothy Hanson, University of South Carolina | ||
15: | Validation of Surrogate Endpoints by Bayesian Equivalence Testing — Mathangi Gopalakrishnan, University of Maryland Baltimore County | ||
16: | Multilevel Modeling of Follow-Up Studies with Missing Data — Monica Bennett, Baylor Health Care System ; James Stamey, Baylor University ; John W. Seaman, PhD, Baylor University | ||
17: | A Bayesian Approach to Understanding the Probability of Zero Rainfall — James Travis, University of Maryland Baltimore County ; Anindya Roy, University of Maryland Baltimore County | ||
18: | Hierarchical Bayesian Models of Change-Point Problem Using Bayes Factor — Younshik Chung, Pusan National University ; Seongho Song, University of Cincinnati ; Myoungjin Jung, Pusan National University | ||
19: | Infinite Tensor Factorization Priors — Anjishnu Banerjee ; David Dunson, Duke University | ||
21: | Bayesian Estimation of the Expected Time of First Arrival Past a Truncated Time T: The Case of NHPP with Power Law Intensity — Mostafa Aminazdeh, Towson University | ||
22: | Bayesian Semiparametric Methods to Test Shapes of Regression Functions — Yifang Li, North Carolina State University ; Sujit Kumar Ghosh, North Carolina State University | ||
23: | A Comparison of Power in Normal Theory Approximation to Bayesian MCMC Procedures — Jiang Yuan, Baylor University ; John W. Seaman, PhD, Baylor University ; James Stamey, Baylor University | ||
24: | A Bayesian Model for Election Forecasting: A Case Study of Voting Intentions of Students of University of Lagos — Ray Okonkwo Okafor, University of Lagos ; Rotimi Kayode Ogundeji, University of Lagos | ||
25: | Nonparametric Bayesian Modeling of Non-Gaussian Time Series with Conditional Heteroskedasticity — Zhiguang Xu, The Ohio State University ; Steven MacEachern, The Ohio State University ; Xinyi Xu, The Ohio State University | ||
27: | Comparison of Credible Sets and Confidence Intervals for a Bivariate Discrete and Continuous Model — Ross Bray, Baylor University ; John W. Seaman, PhD, Baylor University ; James Stamey, Baylor University |
2012 JSM Online Program Home
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