Resultats globals: 2 registres trobats en 0.02 segons.
Articles, 2 registres trobats
Articles 2 registres trobats  
24 p, 3.9 MB Bayesian joint spatio-temporal analysis of multiple diseases / Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha) ; Palmí-Perales, Francisco (Universidad de Castilla-La Mancha) ; López-Abente, Gonzalo (Instituto de Salud Carlos III) ; Ramis-Prieto, Rebeca (Instituto de Salud Carlos III) ; Fernández-Navarro, Pablo (Instituto de Salud Carlos III)
In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects. Dependence on shared terms is controlled by disease-specific weights so that their posterior distribution can be used to identify diseases with similar spatial and temporal patterns. [...]
2019 - 10.2436/20.8080.02.79
SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 51-74 (Articles)  
64 p, 1.4 MB Hierarchical models with normal and conjugate random effects : a review / Molenberghs, Geert (Universiteit Hasselt (Hasselt, Bèlgica). I-BioStat) ; Verbeke, Geert (KU Leuven (Leuven, Bèlgica). I-BioStat) ; Demétrio, Clarice G. B. (Universidade de São Paulo)
Molenberghs, Verbeke, and Demétrio (2007) and Molenberghs et al. (2010) proposed a general framework to model hierarchical data subject to within-unit correlation and/or overdispersion. The framework extends classical overdispersion models as well as generalized linear mixed models. [...]
2017 - 10.2436/20.8080.02.58
SORT : statistics and operations research transactions, Vol. 41 Núm. 2 (July-December 2017) , p. 191-254 (Invited articles)  

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