In this first, of the two part Introduction to Bayesian Analysis workshop series, we provide a very practical introduction to Bayesian estimation. Topics Include:

  1. Why Bayesian and why now
  2. Understanding the concepts of Bayes
  3. Estimating parameters using Markov Chain Monte Carlo (MCMC)
  4. 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. We offer discounted pricing for graduate students and post-doctoral fellows as well as discounts for multiple registrations.

PRICING:

Students & Post-Docs $325 Canadian + tax (13%) Faculty & Practitioners $425 Canadian + tax (13%)
  • December 4, 2020
Read More

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:

  1. Multiple regression with uninformative versus informative priors
  2. Mediation analysis with uninformative versus informative priors
  3. Path analysis with uninformative versus informative priors
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. We offer discounted pricing for graduate students and post-doctoral fellows as well as discounts for multiple registrations.

PRICING:

Students & Post-Docs $325 Canadian + tax (13%) Faculty & Practitioners $425 Canadian + tax (13%)
  • December 4, 2020
Read More
Recent Comments
    Latest Posts
    Event Search
    Ads