Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes

18 January 2013

Papers citing "Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes"

10 / 10 papers shown

Title
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera F. Bachoc 44 1 0 26 Apr 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds Moritz Korte-Stapff Toni Karvonen Eric Moulines 23 0 0 31 Dec 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport F. Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 34 7 0 12 Oct 2022
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) Paul Novello Gaël Poëtte D. Lugato S. Peluchon P. Congedo AI4CE 19 7 0 27 Sep 2022
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a Mat{é}rn model on the circle S. Petit 21 1 0 16 Sep 2022
Bounds in $L^1$ Wasserstein distance on the normal approximation of general M-estimators F. Bachoc M. Fathi 17 0 0 18 Nov 2021
Semi-parametric estimation of the variogram of a Gaussian process with stationary increments Jean-marc Azais F. Bachoc A. Lagnoux Thi Mong Ngoc Nguyen 22 3 0 08 Jun 2018
Improvement of code behaviour in a design of experiments by metamodeling F. Bachoc Jean-Marc Martinez K. Ammar AI4CE 17 13 0 10 Nov 2015
Polynomial-Chaos-based Kriging R. Schöbi Bruno Sudret J. Wiart 32 269 0 13 Feb 2015
Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case F. Bachoc 18 31 0 05 Dec 2014