The Center for Integrated Latent Variable Research (CILVR)
BAYESIAN STATISTICAL MODELING: A FIRST COURSE, JUNE 7-9, 2021
BAYESIAN STATISTICAL MODELING: A SECOND COURSE, JUNE 10-11, 2021
Roy Levy, Arizona State University
Bayesian Statistical Modeling: A Second Course
This online, two-day short course assumes experience with introductory level Bayesian statistical modeling, such as that provided in our first course (immediately preceding this course, or taken previously) or from analogous university course exposure elsewhere that covers those topics in our first course. Content covered will draw, as time allows, from such topics as: missing data modeling, factor analysis, item response theory, structural equation modeling, latent class modeling, Bayesian networks, and multilevel modeling. Familiarity with these topics would be beneficial, but not required. Each will be reviewed from a conventional perspective before pursuing a Bayesian perspective. The presentation of each of these topics is intended to illuminate broader ideas of Bayesian statistical modeling such that key principles can be abstracted even for those researchers not working with the particular type of model at hand. Although this material is necessarily more complex, it will be presented in a manner targeting the applied researcher, with examples primarily from social science and educational research, accompanied by input and output from software. We will primarily be using Stan and R, but will also use JAGS and Netica for particular item response, latent class, and Bayesian network models. Throughout the course participants will be able to practice exercises at home using these software packages. (Participants will be instructed on how to download free versions of the software prior to the course.)
First Course Only:
- Professional: $495
- Full-time student*: $295
Second Course Only:
- Professional: $345
- Full-time student*: $195
Both First and Second Course:
- Professional: $795
- Full-time student*: $455
*Full-time students must submit student status proof at https://go.umd.edu/CILVR-STUDENT for prompt processing of the registration.
Free for registered HDQM Department faculty and HDQM degree-seeking students, although you must register through the internal link.
REFUND POLICY: Full refund if cancellation occurs at least 10 business days prior to the workshop date; 50% refund if within 10 days of the first day of the course.
For any questions, please contact Yishan Ding at email@example.com.