Bayesian estimation is becoming increasingly popular and necessary for answering complex research questions. 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
During this five-hour workshop, examples will be demonstrated using the Mplus software. However, our focus will be more on the conceptual understanding rather than the software. Materials, syntax (for both Mplus and R), and Mplus output will be provided for all examples, so it is not necessary to have the Mplus software to participate.
We offer discounted pricing for graduate students and post-doctoral fellows as well as discounts for multiple registrations. Registration and payment can be made directly online. Price is exclusive of tax. We accept Visa, MasterCard, American Express, Cheques and Email Transfers.