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Composite likelihood estimation for a gaussian process under fixed
  domain asymptotics
v1v2v3 (latest)

Composite likelihood estimation for a gaussian process under fixed domain asymptotics

24 July 2018
François Bachoc
M. Bevilacqua
D. Velandia
ArXiv (abs)PDFHTML

Papers citing "Composite likelihood estimation for a gaussian process under fixed domain asymptotics"

5 / 5 papers shown
Title
The Matérn Model: A Journey through Statistics, Numerical Analysis and
  Machine Learning
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning
Emilio Porcu
M. Bevilacqua
R. Schaback
Chris J. Oates
61
16
0
05 Mar 2023
Fixed-domain asymptotic properties of maximum composite likelihood
  estimators for max-stable Brown-Resnick random fields
Fixed-domain asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields
Nicolas Chenavier
C. Robert
36
0
0
19 Sep 2022
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process
  Model with Nugget
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Cheng Li
Saifei Sun
Yichen Zhu
29
2
0
21 Jul 2022
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
11
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
46
13
0
15 Sep 2020
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