STAT 3303: Bayesian Analysis and Statistical Decision Making

January 31, 2017
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: 
3.0

Typical Offerings:  every SP


Recent Syllabi


SP18 STAT 3303 Calder [pdf]

SP17 STAT 3303 Calder [pdf]



[pdf] - Some links on this page are to Adobe .pdf files requiring the use of Adobe Reader. If you need them in a more accessible format, please contact webmaster@stat.osu.edu.


To find course availability and times, please visit the Ohio State Course Catalog and Master Schedule.