scholarly journals Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions

2020 ◽  
Vol 8 (3) ◽  
pp. 926-958
Author(s):  
Toni Karvonen ◽  
George Wynne ◽  
Filip Tronarp ◽  
Chris Oates ◽  
Simo Särkkä
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Gaussian Process ◽  
Uncertainty Quantification ◽  
Likelihood Estimation ◽  
Process Approximation

scholarly journals Maximum likelihood estimation for Gaussian process with nonlinear drift

2018 ◽  
pp. 120-140 ◽  
Author(s):  
Yuliya Mishura ◽  
◽  
Kostiantyn Ralchenko ◽  
Sergiy Shklyar ◽  
◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Gaussian Process ◽  
Likelihood Estimation

scholarly journals Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics

2017 ◽  
Vol 11 (2) ◽  
pp. 2978-3007
Author(s):  
Daira Velandia ◽  
François Bachoc ◽  
Moreno Bevilacqua ◽  
Xavier Gendre ◽  
Jean-Michel Loubes
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Gaussian Process ◽  
Likelihood Estimation ◽  
Fixed Domain
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