Bayesian Decision Theory

HOURS: 9:50 - 11:25; Tu. And Th.

Online for the first two weeks

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 E2 525
• Office Hours: Tu and Th 2:00 - 3:00