Bayesian inference and data cloning in population projection matrices

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dc.contributor.author Horra Navarro, J. de la
dc.contributor.author Marín Díazaraque, Juan Miguel
dc.contributor.author Rodríguez Bernal, M. T.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2013-01-10T16:53:09Z
dc.date.available 2013-01-10T16:53:09Z
dc.date.issued 2013-01
dc.identifier.uri http://hdl.handle.net/10016/16113
dc.description.abstract Discrete time models are used in Ecology for describing the evolution of an agestructured population. Usually, they are considered from a deterministic viewpoint but, in practice, this is not very realistic. The statistical model we propose in this article is a reasonable model for the case in which the evolution of the population is described by means of a projection matrix. In this statistical model, fertility rates and survival rates are unknown parameters and they are estimated by using a Bayesian approach. Usual Bayesian and data cloning methods (based on Bayesian methodology) are applied to real data from the population of the Steller sea lions located in the Alaska coast since 1978 to 2004. The estimates obtained from these methods show a good behavior when they are compared to the actual values
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 13-02
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Population projection matrices
dc.subject.other Data cloning
dc.subject.other Age-structured population
dc.subject.other Leslie matrix
dc.subject.other Bayesian MCMC algorithm
dc.title Bayesian inference and data cloning in population projection matrices
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.type.version submitedVersion
dc.identifier.repec ws130102
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