STAT370
Bayesian Statistics
Mathematics & Computer Science
College of Liberal Arts
Course Subject Code
STAT
Course Number
370
Status
Active
Course Attributes
EMMT: Major-Mathematics Elective, MMAT: Major-Mathematics, MSTA: Major-Statistics, ENDA: Minor-Data Science Elective, ENMH: Minor-Mathematics Elective, ENST: Minor-Statistics Elective, NDAT: Minor-Data Science, NMAT: Minor-Mathematics, NSTA: Minor-Statistics
Course Short Title
Bayesian Statistics
Course Long Title
-
Course Description
Introduces Bayesian statistics, a specific and important approach for understanding probability and gaining information from data. Uses examples from several of the many disciplines and industries in which Bayesian statistics are used. Focuses on the concepts and implementation of Bayesian statistics. Illustrates Bayes Theorem, explains how to incorporate prior beliefs in statistical models, and uses the computer to make statistical inference via simulation and Markov Chain Monte Carlo (MCMC) methods.
Min
4
Repeatable
-
Equivalent Course(s)
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