Bayesian Statistical Concepts and Methods

About this course

Welcome to Bayesian Statistical Concepts and Methods. In this course, you will use Bayesian methods in data analysis and modeling; work with posterior distributions, distributions without closed form, directed acyclic graphs, Markov Chain Monte Carlo algorithms; and employ R and the Stan platform for statistical modeling. You will also be introduced to Bayesian hierarchical models, which are useful for the interpretation of multi-level data (sub-group versus group).

What you will learn

• Participants will learn fundamentals of Bayesian concepts and methods, including Bayesian models, Bayesian networks, and Markov chain Monte Carlo.