This paper takes up three parametric cases-the normal, Poisson, exponential cases-in order to study a large deviation upper bound for some posterior probabilitiy of the unknown parameter when in each case the prior distribution is assumed to be in a conjugate family. The upper bound will be given explicitly in each case.田口信夫、高倉泰夫、森永春乃先生 定年退職記念
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
This paper takes up three parametric cases?the normal, Poisson, ex-ponential cases?in order to study...
Suppose that X1,X2,... are conditionally i.i.d. random variables with distribution Pθ given =θ,wher...
In this article, we consider a family of uniform distributions as a statistical model. Assuming that...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
In this article, we consider several statistical models for censored exponential data. We prove a la...
In this article, we consider several statistical models for censored exponential data. We prove a la...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
This paper provides rates of convergence for a class of posterior distribu- tions which are exchange...
We prove the large deviation principle for the posterior distributions on the (unknown) parameter of...
Let η = (η1, …, ηN) be a multinomial random vector with parameters n = η1 + ⋯ + ηN and pm > 0, m = 1...
In this paper, we consider a class of statistical models with a real-valued threshold parameter, wh...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
This paper takes up three parametric cases?the normal, Poisson, ex-ponential cases?in order to study...
Suppose that X1,X2,... are conditionally i.i.d. random variables with distribution Pθ given =θ,wher...
In this article, we consider a family of uniform distributions as a statistical model. Assuming that...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
In this article, we consider several statistical models for censored exponential data. We prove a la...
In this article, we consider several statistical models for censored exponential data. We prove a la...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
This paper provides rates of convergence for a class of posterior distribu- tions which are exchange...
We prove the large deviation principle for the posterior distributions on the (unknown) parameter of...
Let η = (η1, …, ηN) be a multinomial random vector with parameters n = η1 + ⋯ + ηN and pm > 0, m = 1...
In this paper, we consider a class of statistical models with a real-valued threshold parameter, wh...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...