Advertisement

Sensitivity Analysis

  • Uffe B. Kjærulff
  • Anders L. Madsen
Part of the Information Science and Statistics book series (ISS, volume 22)

Abstract

We construct probabilistic networks to support and solve problems of belief update and decision making under uncertainty. In problems of belief update, the posterior probability of a single hypothesis variable is sometimes of interest. When the evidence set consists of a large number of findings or even when it consists of only a small number of findings, questions concerning the impact of subsets of the evidence on the hypothesis or a competing hypothesis emerge.

Keywords

Posterior Probability Bayesian Network Sensitivity Function Conditional Probability Distribution Posterior Probability Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Uffe B. Kjærulff
    • 1
  • Anders L. Madsen
    • 1
    • 2
  1. 1.Department of Computer ScienceAalborg UniversityAalborgDenmark
  2. 2.HUGIN EXPERT A/SAalborgDenmark

Personalised recommendations