Online Program Home
My Program

CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

478 * ! Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-707
Scalable Bayesian Models for Time Series and Dynamic Networks: Making an Impact in Business and Socio-Economic Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Business and Economic Statistics Section
Organizer(s): Mike West, Duke University
Chair(s): Mike West, Duke University
10:35 AM Bayesian Forecasting of High-Dimensional Count-Valued Time Series: Massive Data in Consumer Sales Forecasting

Lindsay Berry, Duke University; Mike West, Duke University; Paul Helman, 84.51°
11:00 AM Bayesian Decouple/Recouple Modeling for Large-Scale Dynamic Network Flow Studies

Xi Chen, LinkedIn Corporation; David Banks, SAMSI/Duke University; Mike West, Duke University
11:25 AM Online Learning and Variable Selection for High-Dimensional Time Series with Simultaneous Graphical Dynamic Linear Models
Lutz F Gruber, QuantCo, Inc.; Mike West, Duke University
11:50 AM A Bayesian Approach to Trajectory-Based Longitudinal Networks, with Application to the European Interbank Market

Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria; Federica Bianchi, Univesità della Svizzera italiana; Stefano Peluso, Cattolica University and Università della Svizzera italiana; Francesco Bartolucci, University of Perugia
12:15 PM Floor Discussion