Sébastien Petit | DeepAI

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Julien Bect
16 publications
Emmanuel Vazquez
13 publications
Sébastien Da Veiga
11 publications
Paul Feliot
4 publications
Subhasish Basak
2 publications

research

∙ 09/16/2022

Maximum likelihood estimation and prediction error for a Matérn model on the circle

This work considers Gaussian process interpolation with a periodized ver...

0 Sébastien Petit, et al. ∙

research

∙ 07/13/2021

Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion

This article revisits the fundamental problem of parameter selection for...

8 Sébastien Petit, et al. ∙

research

∙ 01/24/2021

Numerical issues in maximum likelihood parameter estimation for Gaussian process regression

This article focuses on numerical issues in maximum likelihood parameter...

0 Subhasish Basak, et al. ∙

research

∙ 02/26/2020

Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients

We consider the problem of estimating the parameters of the covariance f...

0 Sébastien Petit, et al. ∙