Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes

25 November 2019

Papers citing "Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes"

7 / 7 papers shown

Title
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces Maria-Irina Nicolae Max Eisele Zehao Wang 65 9 0 28 Sep 2023
Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood Masha Naslidnyk Motonobu Kanagawa Toni Karvonen Maren Mahsereci GP 62 1 0 14 Jul 2023
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes Z. Fan Xinran Han Zehao Wang 91 4 0 20 Dec 2022
Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations Reinhard Furrer Michael Hediger 24 3 0 23 Dec 2021
Bounds in $L^1$ Wasserstein distance on the normal approximation of general M-estimators François Bachoc M. Fathi 41 0 0 18 Nov 2021
Test of the Latent Dimension of a Spatial Blind Source Separation Model C. Muehlmann François Bachoc K. Nordhausen Mengxi Yi 124 5 0 03 Nov 2020
Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs François Bachoc 54 13 0 15 Sep 2020