JSM2025
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Contributed Posters

Contributed Poster Presentations: Section on Bayesian Statistical Science

Tue, Aug 5, 10:30 AM - 12:20 PM Room CC-Hall B Music City Center
Shirin GolchiChair
Section on Bayesian Statistical Science

11 Presentations

01: A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Cognitive Tasks
10:30 AM - 12:20 PM
Co-authors: Jose Rodriguez-Acosta (Texas A&M University), Sharmistha Guha (Texas A&M University), Jose Rodriguez-Acosta (Texas A&M University), Ivo Dinov (Statistics Online Computational Resource)
Bayesian statisticsMultiplex graph classificationVariable selectionFunctional brain connectivity
02: A Flexible Bayesian Multivariate Ordinal Regression Model for Language Sample Scale Data
10:30 AM - 12:20 PM
Co-authors: Fandi Chang, Eloise Kaizar (The Ohio State University), Fandi Chang
BayesianOrdinal RegressionScale Data
03: Bayesian Mixture of Ordinal Regressions for Modeling Pain Score Trajectories
10:30 AM - 12:20 PM
Co-authors: Youngsoo Baek, Rushi Tang, Youngsoo Baek, Orlando Chen (Duke University), Samuel Berchuck
Mixture modelTrajectory clusteringBayesian modelingPain scores dataClinical statistics
04: Bayesian Parameter Estimation of Skew Normal Distribution
10:30 AM - 12:20 PM
Co-authors: Woosuk Kim (Slippery Rock University), Alexander Kim (Johns Hopkins University), Alexander Kim (Johns Hopkins University)
Skew Normal DistributionBayesian EstimationMaximum Likelihood Estimation
05: Bayesian Varying Coefficient Multiple Index Model for Longitudinal Exposure Effect Estimation
10:30 AM - 12:20 PM
Co-authors: Wei Jia (University of Cincinnati), Wei Jia (University of Cincinnati), Roman Jandarov (University of Cincinnati)
Bayesian InferenceLongitudinal Data AnalysisChemical Exposure Mixture AnalysisMachine Learning
06: Do Sparsity Promoting Hierarchical Prior Models Plausibly Model Empirical Image Data
10:30 AM - 12:20 PM
Co-authors: Alexander Strang (University of California, Berkeley), Yash Dave (University of California, Berkeley), Yash Dave (University of California, Berkeley), Brandon Marks (University of California, Berkeley), Zixun Wang (University of California, Berkeley), Hannah Chung (University of California, Berkeley)
Bayesian hierarchical modelsSparse inferenceImage dataScale mixture modelsCompressed sensingModel validation
07: Extended Bayesian Estimation for In-flight Calibration of Space-based Instruments
10:30 AM - 12:20 PM
Co-authors: Soham Das (University of Michigan - Ann Arbor), Soham Das (University of Michigan - Ann Arbor), Yang Chen (University of Michigan), Herman Marshall (MIT), Vinay Kashyap (Center for Astrophysics | Harvard & Smithsonian), David van Dyk (Imperial College London)
bayesian hierarchical modelshrinkage estimatorhigh energy spectral model
08: Identifying High-Risk Subgroups in Meta-Analyses with Hierarchical Bayesian Sparse Modeling
10:30 AM - 12:20 PM
Co-authors: Grace Nie (Rice University), Shouhao Zhou (Penn State University), Grace Nie (Rice University), Christine Peterson (University of Texas MD Anderson Cancer Center)
Bayesian feature selectionMeta-analysesHorseshoe priorCategorical data analysis
09: Joint Analysis of Lung Cancer Longitudinal and Survival Outcomes with a Heteroscedastic Covariance
10:30 AM - 12:20 PM
Co-authors: Kuo-Jung Lee, Kuo-Jung Lee, Jaewoong Joo (University of Florida), Ray-Bing Chen (National Tsing Hua University), Yu Shyr (Vanderbilt University Medical Center), Keunbaik Lee (Sungkyunkwan University)
Hypersphere decompositionJoint modelLongitudinalSurvival
11: Skew-Gaussian Spatiotemporal Change of Support Model
10:30 AM - 12:20 PM
Co-authors: Eleanor Cain, Eleanor Cain, Hossein Moradi Rekabdarkolaee (South Dakota State University), Semhar Michael (South Dakota State University)
Bayesian InferenceSkew-GaussianGibbs samplingSpatiotemporal
12: Symmetrization of Martingale Posterior Distributions
10:30 AM - 12:20 PM
Co-authors: Torey Hilbert, Torey Hilbert, Steven MacEachern (The Ohio State University)
Martingale posteriorBayesian nonpamametricsNonexchangeable modelsPredictive inferenceBayesian uncertainty
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