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On the consistent separation of scale and variance for Gaussian random
  fields

On the consistent separation of scale and variance for Gaussian random fields

20 June 2009
E. Anderes
ArXiv (abs)PDFHTML

Papers citing "On the consistent separation of scale and variance for Gaussian random fields"

21 / 21 papers shown
Title
On the Identifiability and Interpretability of Gaussian Process Models
On the Identifiability and Interpretability of Gaussian Process Models
Jiawen Chen
W. Mu
Yun Li
Didong Li
37
3
0
25 Oct 2023
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
Inference for Gaussian Processes with Matérn Covariogram on Compact
  Riemannian Manifolds
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds
Didong Li
Wenpin Tang
Sudipto Banerjee
87
14
0
08 Apr 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
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
50
12
0
25 Nov 2019
Convergence of Gaussian Process Regression with Estimated
  Hyper-parameters and Applications in Bayesian Inverse Problems
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
A. Teckentrup
76
67
0
31 Aug 2019
On identifiability and consistency of the nugget in Gaussian spatial
  process models
On identifiability and consistency of the nugget in Gaussian spatial process models
Wenpin Tang
Lu Zhang
Sudipto Banerjee
65
40
0
15 Aug 2019
Local inversion-free estimation of spatial Gaussian processes
Local inversion-free estimation of spatial Gaussian processes
Hossein Keshavarz
X. Nguyen
Clayton Scott
41
1
0
30 Nov 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
Optimal compromise between incompatible conditional probability
  distributions, with application to Objective Bayesian Kriging
Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging
Joseph Muré
43
11
0
21 Mar 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
85
22
0
10 Oct 2016
Estimation and Prediction using generalized Wendland Covariance
  Functions under fixed domain asymptotics
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics
M. Bevilacqua
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
134
75
0
23 Jul 2016
Optimal change point detection in Gaussian processes
Optimal change point detection in Gaussian processes
Hossein Keshavarz
Clayton Scott
X. Nguyen
78
34
0
03 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 theory with hierarchical autocorrelation: Ornstein-Uhlenbeck
  tree models
Asymptotic theory with hierarchical autocorrelation: Ornstein-Uhlenbeck tree models
L. Ho
Cécile Ané
68
52
0
06 Jun 2013
High-frequency asymptotics for Lipschitz-Killing curvatures of excursion
  sets on the sphere
High-frequency asymptotics for Lipschitz-Killing curvatures of excursion sets on the sphere
Domenico Marinucci
S. Vadlamani
86
28
0
11 Mar 2013
High-Frequency Tail Index Estimation by Nearly Tight Frames
High-Frequency Tail Index Estimation by Nearly Tight Frames
C. Durastanti
Xiaohong Lan
115
3
0
01 Mar 2013
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
Needlet-Whittle Estimates on the Unit Sphere
Needlet-Whittle Estimates on the Unit Sphere
C. Durastanti
Xiaohong Lan
Domenico Marinucci
158
15
0
07 Feb 2012
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