Introduction to concepts and methods for making decisions in the presence of uncertainty. Topics include: formulation of decision problems and quantification of their components; learning about unknown features of a decision problem based on data via Bayesian analysis; characterizing and finding optimal decisions. Techniques and computational methods for practical implementation are presented.
Prereq: C- or above in 3301, or permission of instructor.
Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.
SP20 STAT 3303 Chkrebtii [pdf]
P20 STAT 3303 Pratola [pdf]
SP19 STAT 3303 Calder [pdf]
SP18 STAT 3303 Calder [pdf]
SP17 STAT 3303 Calder [pdf]
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