Planning and Control Under Risk

Abstract

This is the Final Report in a twelve-year effort to model stochastic phenomena and develop decision-making techniques under risk and uncertainty. Recent research areas which received major emphasis were: (1) Basic risk decision models, with emphasis on determining the structure of optimal policies in the face of unknown parameters in the relevant risk distributions; and (2) Data collection and parameter estimation with emphasis on linearized Bayesian methods.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA055055

Entities

People

  • William S. Jewell

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • California
  • Dynamic Programming
  • Estimators
  • Flow Network
  • Gambling
  • Insurance
  • Integer Programming
  • Linear Programming
  • Management Personnel
  • Mathematical Programming
  • Military Research
  • Operations Research
  • Optimization
  • Probability
  • Random Variables
  • Reliability

Readers

  • Acoustical Oceanography.
  • Systems Analysis and Design
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy