A non-stationary spatial generalized linear mixed model approach for studying plant diversity

DOI10.1080/02664763.2010.537650OpenAlexW2088806377WikidataQ56755086 ScholiaQ56755086MaRDI QIDQ5124878

Jason Walker, Corinna Gries, Anandamayee Majumdar

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2010.537650

zbMATH Keywords

Markov chain Monte CarloLangevin-Hastings algorithmgeneralized linear mixed modelcross convolutioncross-covariance matrixlog-Gaussian Cox modelmultivariate spatial model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image

Cites Work

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• Geometric ergodicity of Metropolis-Hastings algorithms for conditional simulation in generalized linear mixed models

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