Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

Volume: 103, Issue: 483, Pages: 1119 - 1130
Published: Sep 1, 2008
Abstract
Motivated by a computer experiment for the design of a rocket booster, this article explores nonstationary modeling methodologies that couple stationary Gaussian processes with treed partitioning. Partitioning is a simple but effective method for dealing with nonstationarity. The methodological developments and statistical computing details that make this approach efficient are described in detail. In addition to providing an analysis of the...
Paper Details
Title
Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
Published Date
Sep 1, 2008
Volume
103
Issue
483
Pages
1119 - 1130
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