4 papers
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…
Future Proofing a Building Design Using History Matching Inspired Level-Set Techniques
Evan Baker, Peter Challenor, Matt Eames
History Matching is a technique used to calibrate complex computer models, that is, finding the input settings which lead to the simulated output matching up with real world observ…
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…
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…