On Identifiability and Consistency of The Nugget in Gaussian Spatial Process Models

DOI10.1111/rssb.12472OpenAlexW3206053937MaRDI QIDQ5087431

Wenpin Tang, Sudipto Banerjee, Lu Zhang

Publication date: 11 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.05726

zbMATH Keywords

interpolationconsistencyasymptotic normalityspatial statisticsnuggetMatérn covariogram

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics ⋮ A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes ⋮ Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model

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