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- W2549277601 abstract "Areal data modelling has seen a considerable growth in last years following the increasing availability of Geographic Information System and spatial datasets. Despite areal data modelling is been widely studied at univariate level, contributes concerning multivariate modelling have been only recently developed. In this lecture the statistical problems arising in the analysis of multivariate areal data are discussed. We start by a critical review of some descriptive measures of spatial association both in univariate and multivariate setting, highlighting the need for further research on this topic. As regards modelling, starting from the popular univariate CAR model we review some recent multivariate extension and present a flexible multivariate areal data model that overcome some restrictive hypotheses underlying models previously proposed in this context. In particular, a multivariate distribution for spatial random effect is constructed by explicit modelling of cross-correlation that is allowed to be asymmetric. Implementation in a Bayesian framework by means of MCMC algorithms is illustrated via some applications in multivariate disease mapping." @default.
- W2549277601 created "2016-11-30" @default.
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- W2549277601 date "2009-01-01" @default.
- W2549277601 modified "2023-09-23" @default.
- W2549277601 title "Seminario: Analysis of multivariate areal data" @default.
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