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Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model
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Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model

Cheng Li
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Papers citing "Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model"

4 / 4 papers shown
Title
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek
Masaki Adachi
Michael A. Osborne
93
1
0
14 Oct 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds
Moritz Korte-Stapff
Toni Karvonen
Eric Moulines
47
0
0
31 Dec 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning
Emilio Porcu
M. Bevilacqua
R. Schaback
Chris J. Oates
61
16
0
05 Mar 2023
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Cheng Li
Saifei Sun
Yichen Zhu
40
2
0
21 Jul 2022