A matching prior at level $1-\alpha$ is a prior such that an associated $1-\alpha$ credible set is also a $1-\alpha$ confidence set. We study the existence of matching priors for general families of credible regions. Our main result gives topological conditions under which matching priors for specific families of credible regions exist. Informally, we prove that, on compact parameter spaces, a matching prior exists if the so-called rejection-probability function is jointly continuous when we adopt the Wasserstein metric on priors. In light of this general result, we observe that typical families of credible regions, such as credible balls, highest-posterior density regions, quantiles, etc., fail to meet this topological condition. We show h...
<p>We consider the construction of set estimators that possess both Bayesian credibility and frequen...
This paper is concerned with the construction of prior probability measures for parametric families ...
We marshall the arguments for preferring Bayesian hypothesis testing and confidence sets to frequent...
this paper, we consider the approach of matching. The notion of matching, which first appeared in We...
We revisit the question of priors that achieve approximate matching of Bayesian and frequentist pred...
It has long been asserted that in univariate location-scale models, when concerned with inference fo...
In recent years, extensive work has been done concerning the derivation of noninformative prior dist...
We investigate the frequentist coverage properties of (certain) Bayesian credible sets in a general,...
We investigate the frequentist coverage properties of (certain) Bayesian credible sets in a general,...
Objective Bayesian methods have garnered considerable interest and support among statisticians, par...
Extending to infinite state spaces that are compact metric spaces a result previously attained by Do...
The paper considers priors which are right invariant with respect to the Haar measure. It is shown t...
For models characterized by a scalar parameter, it is well known that Jeffrey's prior ensures approx...
We introduce a prior for the parameters of univariate continuous distributions, based on the Wassers...
grantor: University of TorontoIn this thesis we consider various aspects of asymptotic the...
<p>We consider the construction of set estimators that possess both Bayesian credibility and frequen...
This paper is concerned with the construction of prior probability measures for parametric families ...
We marshall the arguments for preferring Bayesian hypothesis testing and confidence sets to frequent...
this paper, we consider the approach of matching. The notion of matching, which first appeared in We...
We revisit the question of priors that achieve approximate matching of Bayesian and frequentist pred...
It has long been asserted that in univariate location-scale models, when concerned with inference fo...
In recent years, extensive work has been done concerning the derivation of noninformative prior dist...
We investigate the frequentist coverage properties of (certain) Bayesian credible sets in a general,...
We investigate the frequentist coverage properties of (certain) Bayesian credible sets in a general,...
Objective Bayesian methods have garnered considerable interest and support among statisticians, par...
Extending to infinite state spaces that are compact metric spaces a result previously attained by Do...
The paper considers priors which are right invariant with respect to the Haar measure. It is shown t...
For models characterized by a scalar parameter, it is well known that Jeffrey's prior ensures approx...
We introduce a prior for the parameters of univariate continuous distributions, based on the Wassers...
grantor: University of TorontoIn this thesis we consider various aspects of asymptotic the...
<p>We consider the construction of set estimators that possess both Bayesian credibility and frequen...
This paper is concerned with the construction of prior probability measures for parametric families ...
We marshall the arguments for preferring Bayesian hypothesis testing and confidence sets to frequent...