The educational materials on Bayesian decision making produced in AS Department are presented at this page. The material is organized so that to be potentially useful for different target groups of users: from students and PhD students to engineers solving practical problems. Textbooks are listed in the basic publications of the AS Department.
The presented lecture in form of slides is the most up to date material. It provides a unified basis of dynamic decision making under uncertainty and incomplete knowledge. A package of examples to this lecture will be developed soon.
This part of educational materials provides Bayesian decision making theory for beginners. It includes basic theoretical materials and examples available to download.
This part of educational materials offers Bayesian decision making for experienced researchers and engineers. The provided examples deal with the research carried out in AS Department. Most of them are implemented in toolbox Mixtools.