On identifiability and consistency of the nugget in Gaussian spatial
process models

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On identifiability and consistency of the nugget in Gaussian spatial process models

15 August 2019

Sudipto Banerjee

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Papers citing "On identifiability and consistency of the nugget in Gaussian spatial process models"

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Title
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking Tomoya Wakayama Sudipto Banerjee 51 1 0 16 May 2024
Spatial Process Approximations: Assessing Their Necessity Hao Zhang 28 2 0 06 Nov 2023
On the Identifiability and Interpretability of Gaussian Process Models Jiawen Chen W. Mu Yun Li Didong Li 21 3 0 25 Oct 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds Paul Rosa Viacheslav Borovitskiy Alexander Terenin Judith Rousseau 96 8 0 19 Sep 2023
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
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes Yicheng Zhu M. Peruzzi Cheng Li David B. Dunson 73 7 0 27 Nov 2022
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget Cheng Li Saifei Sun Yichen Zhu 29 2 0 21 Jul 2022
Learning particle swarming models from data with Gaussian processes Jinchao Feng Charles Kulick Yunxiang Ren Sui Tang 49 6 0 04 Jun 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds Didong Li Wenpin Tang Sudipto Banerjee 87 14 0 08 Apr 2021
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods Lu Zhang Wenpin Tang S. Banerjee 28 1 0 21 Jan 2021
Graph Based Gaussian Processes on Restricted Domains David B. Dunson Hau‐Tieng Wu Nan Wu GP 56 25 0 14 Oct 2020
Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model Cheng Li 13 10 0 05 Oct 2020
Valid model-free spatial prediction Huiying Mao Ryan Martin Brian J. Reich 87 26 0 28 Jun 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 71 7 0 20 May 2020