Bayesian Analysis and Statistical Decision Making

STAT 3303: Bayesian Analysis and Statistical Decision Making

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.
Credit Hours
3

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.


Recent Syllabi


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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Semester(s) Offered:

Spring