Predator-prey models: an application for the plankton dynamics of lake Geneva
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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Resumo |
In this paper we present a hierarchical Bayesian analysis for a predator-prey model applied to ecology considering the use of Markov Chain Monte Carlo methods. We consider the introduction of a random effect in the model and the presence of a covariate vector. An application to ecology is considered using a data set related to the plankton dynamics of lake Geneva for the year 1990. We also discuss some aspects of discrimination of the proposed models. CNPq[300235/2005-4] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP/Brazil[2007/01379-2] |
Identificador |
ENVIRONMENTAL AND ECOLOGICAL STATISTICS, AMSTERDAM, v.18, n.2, p.315-329, 2011 1352-8505 http://producao.usp.br/handle/BDPI/28801 10.1007/s10651-010-0134-z |
Idioma(s) |
eng |
Publicador |
SPRINGER AMSTERDAM |
Relação |
Environmental and Ecological Statistics |
Direitos |
restrictedAccess Copyright SPRINGER |
Palavras-Chave | #Predator-prey models #Bayesian analysis #Random effects #Plankton dynamics #Markov Chain Monte Carlo #POPULATIONS #GROWTH #Environmental Sciences #Mathematics, Interdisciplinary Applications #Statistics & Probability |
Tipo |
article original article publishedVersion |