Bayesian Decision Theory

HOURS: 8:00 - 9:35; Tu. And Th.

ROOM: BE 169

 The course will cover the theoretical bases of decision making under uncertainty from a Bayesian viewpoint. The methods considered in the course are important both, as tools for real life optimal decision making, and as theoretical justification of Bayesian methods used in inference, hypotheses testing, classification and prediction.

 Instructor

• Bruno Sanso BE 361C
• Office Hours: Tu and Th 10:30 - 11:30