The paper begins with a general, though ideosynchratic, discussion of noninformative priors.
This provides the background for motivating the recent and ongoing elaborations of the …

PRELIMINARY DRAFT: This draft of the catalog is incomplete, with much remaining to be
filled in and/or added. We are circulating this draft in the hopes that readers will know of …

Suppose that we observe X∼ N (α, 1) and, independently, Y∼ N (β, 1), and are concerned
with inference (mainly estimation and confidence statements) about the product of means θ …

This article focuses primarily on a comparison between the reference priors of Berger and
Bernardo and the reverse reference priors suggested by JK Ghosh. Sufficient conditions are …

Central in Bayesian statistics is Bayes' theorem, which can be written as follows:(jx)/f (xj)():
Given the likelihood function f (xj) and the prior (), it is easy to calculate the posterior …

Subjectivism has become the dominant philosophical foundation for Bayesian inference.
Yet, in practice, most Bayesian analyses are performed with so-called\noninformative" …

A procedure is proposed to derive reference posterior distributions which approximately
describe the inferential content of the data without incorporating any other information. More …

In this paper, reference priors are derived for three cases where partial information is
available. If a subjective conditional prior is given, two reasonable methods are proposed for …

We consider the problem of constructing a prior that is 'noninformative'for a single parameter
in the presence of nuisance parameters. Our approach is to require that the resulting …

Subjectivism has become the dominant philosophical foundation for Bayesian inference. Yet
in practice, most Bayesian analyses are performed with so-called “noninformative” priors …