| |
Jun 26, 2024
|
|
|
|
|
SEGR 4154 - Bayesian Analysis for Human Decision
The Bayesian approach to decision-making with numerous applications in engineering, business, and healthcare. Discriminant analysis and ROC curve. Expected value maximization, decision trees, Bayes’ theorem, value of information, Bayesian networks and optimal strategies. Axiomatic utility controversies and prospect theory. Theoretical and empirical determination of utility functions and relationship to human belief network. Brief introduction to multi-attribute problems, time streams, data envelopment analysis, and group decisions.
Credit Hours: (3)
Prerequisite(s): STAT 3128 with grade of C or above
Cross-listed Course(s): EMGT 5154
Repeatability: May be repeated for credit.
Most Recently Offered (Day): Spring 2019, Spring 2020
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years
Schedule of Classes
Add to Catalog Bookmarks (opens a new window)
|
|
