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stat.ME2020
Analyzing Stochastic Computer Models: A Review with Opportunities
Evan Baker, Pierre Barbillon, Arindam Fadikar +10
In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…
stat.ME2019
Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available
Evan Baker, Peter Challenor, Matt Eames
The analysis of computer models can be aided by the construction of surrogate models, or emulators, that statistically model the numerical computer model. Increasingly, computer mo…
stat.ME2019
Diagnostics for Stochastic Gaussian Process Emulators
Evan Baker, Peter Challenor, Matt Eames
Computer models, also known as simulators, can be computationally expensive to run, and for this reason statistical surrogates, known as emulators, are often used. Any statistical…