Statistical Inference and Computation II
Course ID
DSCI 553
Campus
UBC Vancouver
Semester
Winter
Course Block
5
Course Description
Introduces you to the Bayesian paradigm in statistics. Up to this point, you have primarily focused on conducting statistical analyses within the frequentist framework. This course offers an opportunity to learn how to use Bayesian reasoning in data modeling, apply Bayesian statistics to regression models, and compare and contrast Bayesian and frequentist methods while evaluating their relative strengths. You will also learn the basics of Markov Chain Monte Carlo (MCMC) for practical model estimation and inference.