In this first, of the two part Introduction to Bayesian Analysis workshop series, we provide a very practical introduction to Bayesian estimation. Topics Include:
- Why Bayesian and why now
- Understanding the concepts of Bayes
- Estimating parameters using Markov Chain Monte Carlo (MCMC)
- Model fit
In this second, of the two part Introduction to Bayesian Analysis workshop series, we expand on part I to provide practical examples of Bayesian analysis. Topics Include:
- Multiple regression with uninformative versus informative priors
- Mediation analysis with uninformative versus informative priors
- Path analysis with uninformative versus informative priors