Inferencia bayesiana en mixturas: métodos aproximados.

Título inglés	Bayesian inference in mixtures: approximate methods.
Título español	Inferencia bayesiana en mixturas: métodos aproximados.
Autor/es	Caro, Enrique ; Domínguez, Juan Ignacio ; Girón, Francisco Javier
Organización	Dep. Estad. Fac. Cienc. Secc. Mat. Univ. Málaga, Málaga, España
Revista	0213-8190
Publicación	1991, 6 (1): 89-106, 10 Ref.
Tipo de documento	articulo
Idioma	Español
Resumen inglés	The problem of approximating mixtures of distributions has received considerable attention recently. In this paper we consider problems of estimating the mixing proportions of a finite mixture from a Bayesian perspective. The problems which arise from this methodology are basically approximations of finite measures of distributions. We propose two approximating methods and prove that under certain conditions both methods are asymptotically equivalent to a third method, which turns out to be simpler and computationally more efficient than the others. The paper concludes with a simulation study which analyses the goodness of the three methods with respect to the exact solution.
Clasificación UNESCO	120913
Palabras clave español	Inferencia bayesiana ; Conglomerados ; Aprendizaje ; Aproximación ; Simulación
Código Z-Math	Zbl 0739.62022
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