DTIC ADA060026: Further Theory of Stable Decisions pdf

DTIC ADA060026: Further Theory of Stable Decisions

More Book Details

Description of the Book:

In a decision problem, a Bayesian has a loss function, a likelihood function, and a prior opinion. A Bayesian makes a decision by minimizing expected loss. Assuming the likelihood function is fixed and agreed upon, this thesis examines the influence of small variations in loss function and prior opinion. There are a lot of ways to define small variations in loss function and prior distribution. Essentially one has to define distance between two distributions and distance between two loss functions

• Creator/s: Defense Technical Information Center
• Date: 8/1/1978
• Year: 1978
• Book Topics/Themes: DTIC Archive, Chuang, David T, CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF STATISTICS, *STATISTICAL DECISION THEORY, DECISION MAKING, PROBABILITY DISTRIBUTION FUNCTIONS, THESES, BAYES THEOREM, STATISTICAL FUNCTIONS

An excerpt captured from the PDF book