Generalized spatio-temporal models

(Universidad Nacional de Colombia. Departamento de Estadística)

Fecha:	2011
Resumen:	An important problem in statistics is the study of spatio-temporal data taking into account the effect of explanatory variables such as latitude, longitude and time. In this paper, a new Bayesian approach for analyzing spatial longitudinal data is proposed. It takes into account linear time regression structures on the mean and linear regression structures on the variance-covariance matrix of normal observations. The spatial structure is included in the time regression parameters and also in the regression structure of the variance covariance matrix. Initially, we present a summary of the spatial models and the Bayesian methodology used to fit the models, as a extension of the longitudinal data analysis. Next, the general spatial temporal model is proposed. Finally, this proposal is used to study rainfall data.
Derechos:	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.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Bayesian ; Fisher scoring ; Mean-covariance modelling ; Antedependence ; Spatial statistics ; Spatial temporal models ; Spatial longitudinal data
Publicado en:	SORT : statistics and operations research transactions, Vol. 35, Núm. 2 (July-December 2011) , p. 165-178, ISSN 2013-8830

14 p, 341.3 KB

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