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Cross-validation estimation of covariance parameters under fixed-domain
  asymptotics
v1v2 (latest)

Cross-validation estimation of covariance parameters under fixed-domain asymptotics

10 October 2016
François Bachoc
A. Lagnoux
Thi Mong Ngoc Nguyen
ArXiv (abs)PDFHTML

Papers citing "Cross-validation estimation of covariance parameters under fixed-domain asymptotics"

16 / 16 papers shown
Title
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process
  Interpolation
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation
Toni Karvonen
73
3
0
10 Mar 2022
Estimation of the Scale Parameter for a Misspecified Gaussian Process
  Model
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model
Toni Karvonen
55
4
0
06 Oct 2021
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
Consistency of Empirical Bayes And Kernel Flow For Hierarchical
  Parameter Estimation
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
Yifan Chen
H. Owhadi
Andrew M. Stuart
114
31
0
22 May 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
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
47
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
Mixed domain asymptotics for a stochastic process model with time trend
  and measurement error
Mixed domain asymptotics for a stochastic process model with time trend and measurement error
Chih Chang
Hsin-Cheng Huang
C. Ing
45
13
0
28 Sep 2016
Improvement of code behaviour in a design of experiments by metamodeling
Improvement of code behaviour in a design of experiments by metamodeling
François Bachoc
Jean-Marc Martinez
K. Ammar
AI4CE
75
13
0
10 Nov 2015
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
Asymptotic analysis of covariance parameter estimation for Gaussian
  processes in the misspecified case
Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case
François Bachoc
118
31
0
05 Dec 2014
Asymptotic analysis of the role of spatial sampling for covariance
  parameter estimation of Gaussian processes
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes
François Bachoc
151
56
0
18 Jan 2013
Cross Validation and Maximum Likelihood estimations of hyper-parameters
  of Gaussian processes with model misspecification
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
François Bachoc
149
228
0
18 Jan 2013
The Role of the Range Parameter for Estimation and Prediction in
  Geostatistics
The Role of the Range Parameter for Estimation and Prediction in Geostatistics
C. Kaufman
B. Shaby
107
112
0
09 Aug 2011
Fixed-domain asymptotic properties of tapered maximum likelihood
  estimators
Fixed-domain asymptotic properties of tapered maximum likelihood estimators
Juan Du
Hao Zhang
V. Mandrekar
137
148
0
02 Sep 2009
On the consistent separation of scale and variance for Gaussian random
  fields
On the consistent separation of scale and variance for Gaussian random fields
E. Anderes
146
73
0
20 Jun 2009
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