GPfit: AnRPackage for Fitting a Gaussian Process Model to Deterministic Simulator Outputs
نویسندگان
چکیده
منابع مشابه
GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs
Gaussian process (GP) models are commonly used statistical metamodels for emulating expensive computer simulators. Fitting a GP model can be numerically unstable if any pair of design points in the input space are close together. Ranjan, Haynes, and Karsten (2011) proposed a computationally stable approach for fitting GP models to deterministic computer simulators. They used a genetic algorithm...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2015
ISSN: 1548-7660
DOI: 10.18637/jss.v064.i12