JSM 2017 Online Program

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

Keyword Search Criteria: Kriging returned 9 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

A Non-Parametric Bayesian Approach for Indictor Kriging and Its Application in Disease Etiology
Nong Shang, CDC
4:35 PM

Robust Parameter Design Using Computer Experiments
V. Roshan Joseph, Georgia Institute of Technology; Li Gu, Wells Fargo & Company; Shan Ba, Procter & Gamble Company; William Myers, The Procter & Gamble Company
4:45 PM

Monday, 07/31/2017

Controlling Sources of Inaccuracy in Stochastic Kriging
Wenjia Wang, Georgia Institute of Technology
8:35 AM

Estimation of Locally Stationary Spatial Processes with Applications to the American Community Survey
Daniel Weinberg, U.S. Census Bureau; Tucker McElroy, U. S. Census Bureau; Soumendra N Lahiri, North Carolina State University
11:00 AM

Poisson Cokriging as a Generalized Linear Mixed Model, Applications in Public Health
Lynette Smith, University of Nebraska Medical Center
11:35 AM

Wednesday, 08/02/2017

Space-Time Outlier Identification in a Large Ground Deformation Dataset
Youjiao Yu, Department Statistical Science, Baylor University; Austin Workman, Baylor University; Amanda S. Hering, Baylor University

Designing Computer Experiments to Maximize Prediction Accuracy
Erin Leatherman, West Virginia University; Angela Dean, The Ohio State University; Thomas Santner, The Ohio State University
8:55 AM

Replication or exploration? Sequential design for stochastic simulation experiments.
Robert Gramacy, Virginia Tech Department of Statistics; Bickael Binois, The University of Chicago; Mike Ludkovski, University of California, Santa Barbara
10:35 AM

JSM 2017 Online Program

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