On the Inference of Applying Gaussian Process Modeling to a
Deterministic Function

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On the Inference of Applying Gaussian Process Modeling to a Deterministic Function

4 February 2020

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Papers citing "On the Inference of Applying Gaussian Process Modeling to a Deterministic Function"

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Title
Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data M. Risser M. Noack Hengrui Luo Ronald Pandolfi GP 99 0 0 07 Nov 2024
Error analysis for a statistical finite element method Toni Karvonen F. Cirak Mark Girolami 23 4 0 19 Jan 2022
Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression Wei Cao Bing-Yi Jing 55 6 0 20 Apr 2021
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions Toni Karvonen George Wynne Filip Tronarp Chris J. Oates Simo Särkkä 104 39 0 29 Jan 2020