THE VALUE OF PRIOR INFORMATION.

Abstract

A natural question that arises in Bayesian statistics, is how inference might be affected by a change in the prior distribution, i.e., by the availability of more or less information on the parameters of the assumed model. A criterion for evaluating this is suggested and used to compare the value of prior information, when sampling is from the normal, negative binomial, poisson and exponential distributions. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1968
Accession Number
AD0679928

Entities

People

  • Irwin Guttman
  • Norman Richard Draper

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Availability
  • Binomials
  • Collecting Methods
  • Data Science
  • Information Science
  • Mathematics
  • Sampling
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference