Bayesian decision theory is a fundamental statistical approach to the problem of pattern classification.

- Bayesian Forecasting & Dynamic Modelsby West, Mike. Harrison, Jeff

Publisher: Springer

ISBN: 9780387227771 - Bayesian Inference in the Social Sciencesby Jeliazkov, Ivan. Yang, Xin-She

Publisher: Wiley

ISBN: 9781118771181 - Case Studies in Bayesian Statistical Modelling and Analysis.by Alston, Clair L. Mengersen, Kerrie L.
- Bayesian Signal Processingby Candy, James V.

Publisher: Wiley-Interscience

ISBN: 9780470430576

- Utility theory.
- The utility of money.
- Rewards, Consequences.
- The loss functions.
- Development of the loss function from the utility theory.
- Certain standard loss functions for inference and predictive problems.
- Bayes estimators.
- Bayes predictors.
- Bayesian hypothesis testing under the different loss functions.
- Decision function.
- Multivariate loss function with Bayesian estimation.
- Risk.
- Types of risk.
- Choice of a sample size under posterior Bayes risk.

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- Rational Decisionsby Binmore, Ken

Publisher: Princeton University Press

ISBN: 9781400833092 - Bayesian Theory of Gamesby Teng, Jimmy

Publisher: Biohealthcare Publishing

ISBN: 9781909287778 - Bayesian Statistics : An Introductionby Lee, Peter M.

Publisher: John Wiley & Sons

ISBN: 9781118359754