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