JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Gaussian process model returned 5 record(s)

Sunday, 07/30/2017

Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments
Mickael Binois; Robert Gramacy, Virginia Tech Department of Statistics; Mike Ludkovski, University of California, Santa Barbara
4:05 PM

Monday, 07/31/2017

Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM

Tuesday, 08/01/2017

Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center

A Sequential Split-Conquer-Combine Approach for Gaussian Process Modeling in Computer Experiments
Ying Hung; Minge Xie, Rutgers University; Chengrui Li, Rutgers University
3:20 PM

Thursday, 08/03/2017

Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM