Bayesian Statistical Concepts and Methods

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)

• Understand Bayesian concepts and methods
• Use Bayesian models and networks
• Apply Markov Chain Monte Carlo algorithms

• Basic familiarity with topic and terminology
• Readiness for applied exercises