1985 | OriginalPaper | Chapter
Basic Concepts
Author : James O. Berger
Published in: Statistical Decision Theory and Bayesian Analysis
Publisher: Springer New York
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Decision theory, as the name implies, is concerned with the problem of making decisions. Statistical decision theory is concerned with the making of decisions in the presence of statistical knowledge which sheds light on some of the uncertainties involved in the decision problem. We will, for the most part, assume that these uncertainties can be considered to be unknown numerical quantities, and will represent them by θ (possibly a vector or matrix).