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Detalle_Publicacion

Bayesian estimation of incomplete data using conditionally specified priors

Abstract: In this paper, a class of conjugate prior for estimating incomplete count data based on a broad class of conjugate prior distributions is presented. The new class of prior distributions arises from a conditional perspective, making use of the conditional specification methodology and can be considered as the generalisation of the form of prior distributions that have been used previously in the estimation of incomplete count data well. Finally, some examples of simulated and real data are given.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Sarabia J., Shahtahmassebi G.,

 Fuente: Communications in Statistics Part B: Simulation and Computation, 2017, 46(5), 3419-3435

Editorial: Taylor and Francis Inc.

 Año de publicación: 2015

Nº de páginas: 25

Tipo de publicación: Artículo de Revista

 DOI: 10.1080/03610918.2015.1091076

ISSN: 0361-0918,1532-4141

 Proyecto español: ECO2013- 48326-C2-2-P

Autoría

SHAHTAHMASSEBI, GOLNAZ