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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

183 Mon, 7/31/2017, 10:30 AM - 11:15 AM CC-Halls A&B
SPEED: Bayesian Methods Student Awards — Contributed Poster Presentations
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214516
17: Application of Multidimensional Time Model for PDF to Experimental and Statistical Investigations into Statistical Randomness and Normality of Pi Sqrt2 Etc Michael Fundator, National Academy of Sciences
18: Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model Tianzhou Ma, Department of Biostatistics, University of Pittsburgh ; Faming Liang, University of Florida ; George Tseng, University of Pittsburgh
19: Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
20: A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data Ryan Warnick, Rice University ; Marina Vannucci, Rice University ; Michele Guindani, University of California, Irvine ; Erik Erhardt, University of New Mexico ; Elena Allen, Medici Technologies ; Vince Calhoun, University of New Mexico
21: Heterogeneous Reciprocal Graphical Models Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
22: A Nonparametric Bayesian Approach to Copula Estimation Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
23: A Geometric Variational Approach to Bayesian Inference Abhijoy Saha, Department of Statistics, The Ohio State University ; Karthik Bharath, University of Nottingham ; Sebastian Kurtek, The Ohio State University
24: Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines Devin Francom, Lawrence Livermore National Laboratory ; Bruno Sanso, University of California Santa Cruz ; Ana Kupresanin, Lawrence Livermore National Laboratory
25: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints Qiwei Li, Rice University ; Michele Guindani, University of California, Irvine ; Brian Reich, NCSU ; Howard Bondell, NC State University ; Marina Vannucci, Rice University
26: Semiparametric Bayesian Regression for Multivariate Skewed Responses Apurva Bhingare
27: Finding Multiple Outcomes with Similar Linear Models Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
28: Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series Yi Zhao, Brown University ; Xi Luo, Brown University
29: Bayesian Methods for Discovering Structure in Neural Spike Trains Scott Linderman
30: On some distributional properties of hierarchical processes Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
31: Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination Matt Johnson, Duke University ; Mike West, Duke University
32: Bayesian Estimation and Uncertainty Quantification in Differential Equation Models Prithwish Bhaumik, Quantifind Inc.
33: Stagewise Generalized Estimating Equations with Applications to Suicide Prevention Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
34: Failure of Conjugate Priors for MAP Estimation with Unknown Variance Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
35: Bayesian Analysis of Time Series with Irregular or Latent Observation Times Aaron Springford, Queen's University ; David Thomson, Queen's University
36: Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process Meredith Ray, University of Memphis ; Dale Bowman, University of Memphis ; Roy Von Arsdale, University of Memphis ; Hongmei Zhang, University of Memphis
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