Joint species distribution modeling: dimension reduction using Dirichlet processes

DOI10.1214/16-BA1031zbMath1384.62317WikidataQ112778329 ScholiaQ112778329MaRDI QIDQ1699697

Erin M. Schliep, Daniel Taylor-Rodríguez, James S. Clark, Alan E. Gelfand, Kimberly A. Kaufeld

Publication date: 23 February 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1478073617

zbMATH Keywords

Markov chain Monte Carlohierarchical modellatent variablesabundancepresence-absence

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Population dynamics (general) (92D25)

Related Items (2)

Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity ⋮ Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data

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