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Three methods for constructing reference prior distributions.

Eusebio Gómez Sánchez-Manzano, Miguel A. Gómez Villegas (1990)

Revista Matemática de la Universidad Complutense de Madrid

Three methods are proposed for constructing reference prior densities for certain biparametric distribution families. These densities represent approximations to the Bayesian concept of noninformative distribution.

Topologies associated to some decision statistical functions

Vasile Preda (1981)

Colloquium Mathematicae

Two-point priors and minimax estimation of a bounded parameter under convex loss

Agata Boratyńska (2005)

Applicationes Mathematicae

The problem of minimax estimation of a parameter θ when θ is restricted to a finite interval [θ₀,θ₀+m] is studied. The case of a convex loss function is considered. Sufficient conditions for existence of a minimax estimator which is a Bayes estimator with respect to a prior concentrated in two points θ₀ and θ₀+m are obtained. An example is presented.

Displaying 101 – 106 of 106

Three methods for constructing reference prior distributions.

Topologies associated to some decision statistical functions

Two-point priors and minimax estimation of a bounded parameter under convex loss

Ungünstige Verteilungen bei einparametrigen Parameterschätzproblemen.

Гарантийные процедуры статистического вывода (определение объема выборки)

Дезинтегрирование возрастающих доминируемых сублинейных функционалов на пространстве измеримых функций

Currently displaying 101 – 106 of 106