Legend:
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