Using Influence Diagrams.

Abstract

This paper is intended primarily for a statistical audience. The influence diagram can be used to model almost any statistical problem of interest. In most cases, it graphically highlights conditional independence relationships implied by the model. Using decision nodes, the influence diagram provides an alternative to the decision tree for Bayesian decision analysis. Keywords: Directed Graphs; Conditional Independence.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1987
Accession Number
ADA176378

Entities

People

  • Richard E. Barlow

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Blood Groups
  • California
  • Computational Science
  • Data Science
  • Engineering
  • Experimental Design
  • Industrial Engineering
  • Mathematical Models
  • Military Research
  • Models
  • Operations Research
  • Quality Control
  • Research Facilities
  • Statistical Analysis
  • United States
  • Universities

Fields of Study

  • Engineering

Readers

  • Graph Algorithms and Convex Optimization.
  • Statistical inference.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference