Contributed Papers

New Directions in Spatiotemporal Bayesian Methodology

Mon, Aug 4, 10:30 AM - 12:20 PM Room CC-106C Music City Center

Jenna LandyChair

Section on Bayesian Statistical Science

7 Presentations

A Bayesian Spatiotemporal Model for Multivariate Zero-Inflated Binomial Counts

10:35 AM - 10:50 AM

Co-authors: John Gilbert Rabanal (University of the Philippines Diliman), John Gilbert Rabanal (University of the Philippines Diliman), Welfredo Patungan (University of the Philippines Diliman)

zero-inflated model Bayesian hierarchical models spatiotemporal analysis multivariate count data adolescent pregnancy

A doubly hierarchical change point model for multi-unit interrupted time series in healthcare

10:50 AM - 11:05 AM

Co-authors: Maricela Cruz (Kaiser Permanente Washington Health Research Institute), Andrew Holbrook, Maricela Cruz (Kaiser Permanente Washington Health Research Institute)

Assessing Spatial Disparities: A Bayesian Linear Regression Approach

11:05 AM - 11:20 AM

Co-authors: Kyle Wu (University of California, Los Angeles), Sudipto Banerjee (University of California Los Angeles), Kyle Wu (University of California, Los Angeles)

Bayesian inference Boundary detection Geographic disparities Spatial epidemiology Wombling

Bayesian competing risks model with spatially varying coefficients

11:20 AM - 11:35 AM

Co-authors: Yueming Shen, Mikhail Bethell (Duke University), Yueming Shen, Lulla Kiwinda (Duke University), Sharrieff Shah (Duke University), Christian Pean (Duke School of Medicine), David Dunson, Samuel Berchuck

Survival analysis Geospatial analysis Competing risks Bayesian modeling Electronic health records data Scalable Gaussian process

Bayesian Mean-Drifted Model for Fertilizer Demand: A Comparative Study with Machine Learning Methods

11:35 AM - 11:50 AM

Co-authors: Harshani De Silva (University of Manitoba), Saman Muthukumarana (Department of Statistics, University of Manitoba), Harshani De Silva (University of Manitoba), Narendra Malalgoda (Asper School of Business, University of Manitoba)

Bayesian Mean Drifted Model Fertilizer Demand Forecasting LSTM Network Non-Stationary Time Series Random Forest Regression

Bayesian Online Spatiotemporal Disease Detection with Likelihood-Weighted Smoothing

11:50 AM - 12:05 PM

Co-authors: Nadeesha Jayaweera (University of Akron), Yanzhao Wang (Regeneron Pharmaceuticals), Nadeesha Jayaweera (University of Akron), Jian Zou (Worcester Polytechnic Institute)

Likelihood-Weighting Spatiotemporal INLA Bayesian

Incomplete Angular Time Series Imputation with a Projected Normal Autoregressive Process

12:05 PM - 12:20 PM

Co-authors: Benjamin Stockton (NYU Langone), Ofer Harel (University of Connecticut), Benjamin Stockton (NYU Langone)

missing data wind directional data multiple imputation Bayesian statistics