Workshop overview

In recent years, the use of Bayesian methodologies is on the rise in many research domains. The Bayesian data analysis represents a powerful tool for interpretation of study results, evaluation of hypotheses compared with the practice of p-values, and estimating models that are too complex or too computationally demanding for the frequentist approach, such as high-dimensional data, multiple endpoints and spatial correlation.

The Bayesian Statistics Training workshop is offering a two-day comprehensive workshop of lectures and hands-on analytical sessions to introduce the ideas of Bayesian inference and modeling. The workshop is tailored for students and researchers who have no familiarity with Bayesian analysis and would like to apply Bayesian statistics in their research.

Schedule

  • The BST is offering four workshops on Bayesian analysis.
Date Time Description
October 25, 2024 10:00AM-2:00PM Session I: Introduction to Bayesian statistics.
November 15, 2024 10:00AM-2:00PM Session II: Basic and advanced Bayesian statistical modeling.
March 14, 2025 10:00AM-2:00PM Session III: Introduction to causal inference.
April 04, 2025 10:00AM-2:00PM Session IV: Bayesian causal inference with applications in epigenetic studies.
  • Location: Lee Honors College - Room 1014.

Register

  • There is no registration fee. Plus, enjoy a complimentary lunch during the workshop. We’d love for you to participate and contribute your voice to this discussion!

  • Please use the embedded form below to register for the workshop. To complete this form, you will need to login with your Google account first.


Workshop material





The BST workshops are sponsored by the U.S. National Science Foundation.