The main theorem of this note is required in a paper of Brown. Briefly, the theorem shows that procedures which can be improved on in a neighborhood of infinity are either inadmissible or are generalized Bayes for a (possibly improper) prior whose rate of growth at infinity is of an appropriate order. This theorem is applied here to show that the risk of the usual estimator of a two dimensional normal mean, θ, cannot be improved on near ∞ at order ∥θ∥−2
AbstractPrevious work on the problem of estimating a univariate normal mean under squared error loss...
The stepwise Bayes technique is a simple but versatile method for proving admissibility of estimator...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
The main theorem of this note is required in a paper of Brown. Briefly, the theorem shows that proce...
The main theorem of this note is required in a paper of Brown. Briefly, the theorem shows that proce...
Questions of admissibility of statistical estimators are reduced to considerations involving differe...
The stepwise Bayes technique is a simple but versatile method for proving admissibility of estimator...
Abstract. We consider evaluating improper priors in a formal Bayes setting according to the conseque...
AbstractPrevious work on the problem of estimating a univariate normal mean under squared error loss...
Questions of admissibility of statistical estimators are reduced to considerations involving differe...
[[abstract]]Kubokawa (1991, Journal of Multivariate Analysis) constructed a shrinkage estimator of a...
Conditions are given for admissibility of procedures invariant under two-dimensional translation. Th...
AbstractA sufficient condition for the admissibility of generalized Bayes estimators of the location...
In some invariant estimation problems under a group, the Bayes estimator against an invariant prior ...
Consider an estimation problem in the one parameter exponential family of distributions under square...
AbstractPrevious work on the problem of estimating a univariate normal mean under squared error loss...
The stepwise Bayes technique is a simple but versatile method for proving admissibility of estimator...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
The main theorem of this note is required in a paper of Brown. Briefly, the theorem shows that proce...
The main theorem of this note is required in a paper of Brown. Briefly, the theorem shows that proce...
Questions of admissibility of statistical estimators are reduced to considerations involving differe...
The stepwise Bayes technique is a simple but versatile method for proving admissibility of estimator...
Abstract. We consider evaluating improper priors in a formal Bayes setting according to the conseque...
AbstractPrevious work on the problem of estimating a univariate normal mean under squared error loss...
Questions of admissibility of statistical estimators are reduced to considerations involving differe...
[[abstract]]Kubokawa (1991, Journal of Multivariate Analysis) constructed a shrinkage estimator of a...
Conditions are given for admissibility of procedures invariant under two-dimensional translation. Th...
AbstractA sufficient condition for the admissibility of generalized Bayes estimators of the location...
In some invariant estimation problems under a group, the Bayes estimator against an invariant prior ...
Consider an estimation problem in the one parameter exponential family of distributions under square...
AbstractPrevious work on the problem of estimating a univariate normal mean under squared error loss...
The stepwise Bayes technique is a simple but versatile method for proving admissibility of estimator...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...