The Influence of the Sample on the Posterior Distribution.

Abstract

In this paper, we present conditions on the likelihood function and on the prior distribution which permit us to assess the effect of the sample on the posterior distribution. Our work is inspired by Whitt (1979) J. Amer. Statist. Assoc. 74, and is based on the notion of multivariate totally positive functions introduced by Karlin and Rinott (1980), unpublished report. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA091026

Entities

People

  • Carlos A. B. Pereira
  • Frank Proschan
  • Salwa Fahmy

Organizations

  • Florida State University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Bayesian Inference
  • Covariance
  • Data Science
  • Inequalities
  • Information Science
  • New York
  • Normal Distribution
  • Observation
  • Probability
  • Scientific Research
  • Statistical Analysis
  • Statistical Samples
  • Statistics
  • Theorems
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Theoretical Analysis.