The zero problem: Gaussian process emulators for range-constrained computer models
Spiller, Elaine T.; Wolpert, Robert L.; Tierz Lopez, Pablo; Asher, Taylor G.. 2023 The zero problem: Gaussian process emulators for range-constrained computer models. SIAM/ASA Journal on Uncertainty Quantification, 11 (2). 540-566. 10.1137/21M1467420
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Abstract/Summary
We introduce a zero-censored Gaussian process as a systematic, model-based approach to building Gaussian process emulators for range-constrained simulator output. This approach avoids many pitfalls associated with modeling range-constrained data with Gaussian processes. Further, it is flexible enough to be used in conjunction with statistical emulator advancements such as emulators that model high-dimensional vector-valued simulator output. The zero-censored Gaussian process is then applied to two examples of geophysical flow inundation which have the constraint of nonnegativity.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1137/21M1467420 |
ISSN: | 2166-2525 |
Date made live: | 11 Jul 2023 12:12 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/535365 |
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