Modelling spatial patterns of distribution and abundance of mussel seed using Structured Additive Regression models
Pazos Pata, María
Rodríguez-Álvarez, María Xosé
Lustres-Pérez, Vicente
Fernández-Pulpeiro, Eugenio
Cadarso-Suárez, Carmen

Date: 2010
Abstract: As mussel farming depends on sources of natural mussel seed, knowledge of factors is required to regulate both the spatial distribution and abundance of this resource. These spatial patterns were modelled using Bayesian STructured Additive Regression (STAR) models for categorical data, based on a mixed-model representation. We used Bayesian penalized splines for modelling the continuous covariate effects and a Markov random field prior for estimating the spatial effects.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: article ; recerca ; Versió publicada
Subject: Mussel seed ; Bayesian structured additive regression (STAR) models ; Spatial effects ; Bayesian P-splines
Published in: SORT : statistics and operations research transactions, Vol. 34, Núm. 1 (January-June 2010) , p. 67-78, ISSN 2013-8830

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 Record created 2012-07-24, last modified 2021-06-19

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