Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity.

Scharf, Henry R; Raiho, Ann M; Pugh, Sierra; Roland, Carl A; Swanson, David K; Stehn, Sarah E; Hooten, Mevin B

Scharf, Henry R; Raiho, Ann M; Pugh, Sierra; Roland, Carl A; Swanson, David K; Stehn, Sarah E; Hooten, Mevin B.

Afiliação

Scharf HR; Department of Mathematics and Statistics, San Diego State University, San Diego, California.
Raiho AM; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado.
Pugh S; Department of Statistics, Colorado State University, Fort Collins, Colorado.
Roland CA; Denali National Park and Preserve, National Park Service, Fairbanks, Alaska.
Swanson DK; Arctic Network, National Park Service, Fairbanks, Alaska.
Stehn SE; Denali National Park and Preserve, National Park Service, Fairbanks, Alaska.
Hooten MB; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado.

Biometrics ; 78(4): 1427-1440, 2022 12.

Article em En | MEDLINE | ID: mdl-34143436

Assuntos

Mudança Climática; Ecossistema; Teorema de Bayes; Alaska; Plantas

Palavras-chave

Alaska national parks; climate change; clustering regression coefficients; community ecology; joint distribution models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Ecossistema Tipo de estudo: Diagnostic_studies / Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Biometrics Ano de publicação: 2022 Tipo de documento: Article

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