Through the use of an empirical Bayes argument, a confidence set for the mean of a multivariate normal distribution is derived. The set is a recentered sphere, is easy to compute, and has uniformly smaller volume than the usual confidence set. An exact formula for the coverage probability is derived, and numerical evidence is presented which shows that the empirical Bayes set uniformly dominates the usual set in coverage probability
The objective of this paper is to develop a set of reliable methods to build confidence sets for the...
We investigate the problem of constructing Bayesian credible sets that are honest and adaptive for t...
The paper develops multivariate limited translation empirical Bayes estimators of the normal mean ve...
A class of confidence sets with constant coverage probability for the mean of a p-variate normal dis...
AbstractIn the problem of estimating the mean, θ, of a multivariate normal distribution, an experime...
Abstract. A new class of confidence sets for the mean of a p-variate normal distribution (p> 3) i...
This issue was undated. The date given is an estimate.38 pages, 1 article*Empirical Bayes Confidence...
In this dissertation, explicit closed form expressions are derived for the harmonic prior Bayes esti...
While empirical Bayes methods thrive in the presence of the hundreds or thousands of simultaneous hy...
The usual multivariate normal confidence set has reported confidence 1-a, which is equal to its cove...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
The parametric empirical Bayes, introduced by [12], [13], [14], and [34], is gaining more and more a...
Construction of tight confidence sets and intervals is central to statistical inference and decision...
The paper develops empirical Bayes (EB) confidence intervals for population means with distributions...
The objective of this paper is to develop a set of reliable methods to build confidence sets for the...
The objective of this paper is to develop a set of reliable methods to build confidence sets for the...
We investigate the problem of constructing Bayesian credible sets that are honest and adaptive for t...
The paper develops multivariate limited translation empirical Bayes estimators of the normal mean ve...
A class of confidence sets with constant coverage probability for the mean of a p-variate normal dis...
AbstractIn the problem of estimating the mean, θ, of a multivariate normal distribution, an experime...
Abstract. A new class of confidence sets for the mean of a p-variate normal distribution (p> 3) i...
This issue was undated. The date given is an estimate.38 pages, 1 article*Empirical Bayes Confidence...
In this dissertation, explicit closed form expressions are derived for the harmonic prior Bayes esti...
While empirical Bayes methods thrive in the presence of the hundreds or thousands of simultaneous hy...
The usual multivariate normal confidence set has reported confidence 1-a, which is equal to its cove...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
The parametric empirical Bayes, introduced by [12], [13], [14], and [34], is gaining more and more a...
Construction of tight confidence sets and intervals is central to statistical inference and decision...
The paper develops empirical Bayes (EB) confidence intervals for population means with distributions...
The objective of this paper is to develop a set of reliable methods to build confidence sets for the...
The objective of this paper is to develop a set of reliable methods to build confidence sets for the...
We investigate the problem of constructing Bayesian credible sets that are honest and adaptive for t...
The paper develops multivariate limited translation empirical Bayes estimators of the normal mean ve...