[STA515] Bayesian Statistics II

Course IDSTA515
ProgramData Science
LevelBachelor, Master

Two topics in Bayesian will be discussed. Following Introduction to Bayesian Statistics, this course covers Bayesian regression models from single variable linear model to a variety of multi-variable generalized models. Models that are non-linear still can be built by Bayesian approach, which will later become a part of Factor Analysis in the field of Machine Learning.

The course also deals with handy Bayesian tools for missing data models, multi-stage decision making w/ updating information set, and 1 vs. many people decision analysis, all of which are logical extension of Bayesian regression modeling.