On Minimum Information Prior Distributions.

Abstract

An explicit formulation of the concept of non-informative prior distribution over a finite number of possibilities is given. Numerical examples show that the formulation leads to non-trivial results. An information inequality is established to assure the validity of numerical results. The relation of the present work to other works on the same subject is briefly discussed. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA120969

Entities

People

  • Hirotugu Akaike

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Contracts
  • Data Science
  • Dispersions
  • Inequalities
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • North Carolina
  • Numerical Analysis
  • Observation
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Statistical Analysis
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.
  • Systems Analysis and Design