Noninformative priors for inferences in exponential regression models

Journal Article (Journal Article)

SUMMARY: In the exponential regression model, inference concerning the regression parameter is notoriously difficult, even when using the Bayesian noninformative prior approach. The reference prior approach (Bernardo, 1979; Berger & Bernardo, 1989) is considered, and argued to yield very satisfactory inferences. Estimation and credible sets are considered in a specific example. © 1991 Biometrika Trust.

Full Text

Duke Authors

Cited Authors

  • Ye, K; Berger, JO

Published Date

  • September 1, 1991

Published In

Volume / Issue

  • 78 / 3

Start / End Page

  • 645 - 656

International Standard Serial Number (ISSN)

  • 0006-3444

Digital Object Identifier (DOI)

  • 10.1093/biomet/78.3.645

Citation Source

  • Scopus