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Asymptotic analysis of covariance parameter estimation for Gaussian
  processes in the misspecified case
v1v2 (latest)

Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case

5 December 2014
François Bachoc
ArXiv (abs)PDFHTML

Papers citing "Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case"

11 / 11 papers shown
Title
Accelerating hypersonic reentry simulations using deep learning-based
  hybridization (with guarantees)
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
Paul Novello
Gaël Poëtte
D. Lugato
S. Peluchon
P. Congedo
AI4CE
62
8
0
27 Sep 2022
Asymptotic analysis of maximum likelihood estimation of covariance
  parameters for Gaussian processes: an introduction with proofs
Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs
François Bachoc
54
13
0
15 Sep 2020
Uncertainty quantification using martingales for misspecified Gaussian
  processes
Uncertainty quantification using martingales for misspecified Gaussian processes
Willie Neiswanger
Aaditya Ramdas
UQCV
50
14
0
12 Jun 2020
Maximum likelihood estimation and uncertainty quantification for
  Gaussian process approximation of deterministic functions
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
Toni Karvonen
George Wynne
Filip Tronarp
Chris J. Oates
Simo Särkkä
113
39
0
29 Jan 2020
Parallel cross-validation: a scalable fitting method for Gaussian
  process models
Parallel cross-validation: a scalable fitting method for Gaussian process models
Florian Gerber
D. Nychka
11
9
0
31 Dec 2019
Asymptotic properties of the maximum likelihood and cross validation
  estimators for transformed Gaussian processes
Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
François Bachoc
José Bétancourt
Reinhard Furrer
T. Klein
45
12
0
25 Nov 2019
Composite likelihood estimation for a gaussian process under fixed
  domain asymptotics
Composite likelihood estimation for a gaussian process under fixed domain asymptotics
François Bachoc
M. Bevilacqua
D. Velandia
51
12
0
24 Jul 2018
Maximum likelihood estimation for Gaussian processes under inequality
  constraints
Maximum likelihood estimation for Gaussian processes under inequality constraints
François Bachoc
A. Lagnoux
A. F. López-Lopera
87
24
0
10 Apr 2018
A Gaussian Process Regression Model for Distribution Inputs
A Gaussian Process Regression Model for Distribution Inputs
François Bachoc
Fabrice Gamboa
Jean-Michel Loubes
N. Venet
93
53
0
31 Jan 2017
Cross-validation estimation of covariance parameters under fixed-domain
  asymptotics
Cross-validation estimation of covariance parameters under fixed-domain asymptotics
François Bachoc
A. Lagnoux
Thi Mong Ngoc Nguyen
77
22
0
10 Oct 2016
Asymptotic properties of multivariate tapering for estimation and
  prediction
Asymptotic properties of multivariate tapering for estimation and prediction
Reinhard Furrer
François Bachoc
Juan Du
137
34
0
05 Jun 2015
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