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The Role of the Range Parameter for Estimation and Prediction in Geostatistics
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The Role of the Range Parameter for Estimation and Prediction in Geostatistics

C. Kaufman
B. Shaby
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Papers citing "The Role of the Range Parameter for Estimation and Prediction in Geostatistics"

18 / 18 papers shown
Title
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek
Masaki Adachi
Michael A. Osborne
93
1
0
14 Oct 2024
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
Lucas Reding
A. F. López-Lopera
François Bachoc
70
1
0
26 Apr 2024
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes
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
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
Matérn Gaussian Processes on Graphs
Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy
I. Azangulov
Alexander Terenin
P. Mostowsky
M. Deisenroth
N. Durrande
53
82
0
29 Oct 2020
Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model
Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model
Cheng Li
39
10
0
05 Oct 2020
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
Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics
Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics
M. Bevilacqua
Christian Caamaño-Carrillo
Emilio Porcu
54
30
0
06 Aug 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
53
12
0
25 Nov 2019
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions
P. Ma
A. Bhadra
60
11
0
14 Nov 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
83
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
50
1
0
30 Nov 2018
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
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
151
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
85
34
0
03 Jun 2015