Applied Bayesian Data Analysis
Introduction
A Second Course, 10-12 Dec 2025
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Events
Posted by: ELMAR Moderator
Applied Bayesian Data Analysis: A Second Course
Taught by Roy Levy, Ph.D.
Wednesday, December 10 – Friday, December 12, 2025
This seminar is designed for researchers and graduate students who are already familiar with the fundamentals of Bayesian statistical modeling and are ready to take their Bayesian skills to the next level.
Learn about Bayesian approaches and their advantages in several advanced modeling frameworks, including factor analysis, structural equation models, and multilevel models (also known as mixed or random-effects models).
By the end of this seminar, you will be able to:
- Understand Bayesian approaches to inference and analysis.
- Construct Bayesian latent variable and multilevel models.
- Specify prior distributions for parameters of those models, including measurement model parameters, structural parameters, means, and covariance structures.
- Fit a variety of factor analytic, structural equation modeling, and multilevel models using Bayesian approaches.
- Interpret output from Markov chain Monte Carlo (MCMC) estimation, and diagnose warning signs of problems with model estimation.
- Evaluate hypotheses about models, parameters, and examine model-data fit.
Models and exercises will be conducted using two freeware packages, R and Stan.
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