Bayesian treed Gaussian process models with an application to computer modeling

2007/10/24 by Robert B. Gramacy, Gramacy, Robert B., Herbert K. H. Lee +1 · 12 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Simulation Techniques and Applications

paper · pdf · doi:10.48550/arxiv.0710.4536

Abstract

Motivated by a computer experiment for the design of a rocket booster, this paper 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 which make this approach efficient are described in detail. In addition to providing an analysis of the rocket booster simulator, our approach is demonstrated to be effective in other arenas.

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