Online Program Home
  My Program
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

168 Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-329
Bayesian Models for Gaussian and Point Processes — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Pulong Ma, Department of Mathematical Sciences, University of Cincinnati
10:35 AM Nonseparable Gaussian Stochastic Process: a Unified View and Computational Strategy Mengyang Gu, Johns Hopkins University ; Yanxun Xu, Johns Hopkins University ; Barbara Engelhardt, Princeton University
10:50 AM A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics ; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
11:05 AM Gaussian Processes for Individualized Continuous Treatment Rule Estimation Pavel Shvechikov, Higher School of Economics ; Evgeniy Riabenko, Higher School of Economics
11:20 AM Handling Missing Data in Self-Exciting Temporal Point Processes James Tucker, Sandia National Laboratories ; John Lewis, Sandia National Laboratories ; Kathy Simonson, Sandia National Laboratories ; Johnanthan Lane, Sandia National Laboratories
11:35 AM Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction Peter Marcy, Los Alamos National Laboratory
11:50 AM Gaussian Process Ensembles Gregory Watson ; Donatello Telesca, UCLA
12:05 PM Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes Jiaxun Chen, University of Missouri-Columbia ; Athanasios Micheas, Univ of Missouri- Columbia ; Scott H. Holan, University of Missouri
Copyright © American Statistical Association