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

9 August 2011

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

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Title
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 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 Z. Fan Xinran Han Zehao Wang 91 4 0 20 Dec 2022
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 Didong Li Wenpin Tang Sudipto Banerjee 87 14 0 08 Apr 2021
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 Cheng Li 39 10 0 05 Oct 2020
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 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 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 P. Ma A. Bhadra 49 11 0 14 Nov 2019
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 Hossein Keshavarz X. Nguyen Clayton Scott 47 1 0 30 Nov 2018
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 François Bachoc A. Lagnoux A. F. López-Lopera 87 24 0 10 Apr 2018
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 M. Bevilacqua Tarik Faouzi Reinhard Furrer Emilio Porcu 148 75 0 23 Jul 2016
Optimal change point detection in Gaussian processes Hossein Keshavarz Clayton Scott X. Nguyen 85 34 0 03 Jun 2015