The Bayesian Statistics Training (BST) provides workshops and hands-on data analytics for those who are interested in Bayesian approach to statistical inference. The workshop introduces the fundamental of Bayesian statistics and modeling in the context of epigenomics and public health, such as choice of prior distribution and posterior computation. The examples and projects are done using R programming.

The BST aims to support students in learning emerging skillset in the field of Bayesian statistics and data science through workshops and undergraduate research. The BST also connects students with resources to advance their skills in statistics and data science. The students will have opportunities to explore and navigate career paths and learn more about the Statistics and Data Science graduate programs at Western Michigan University.

Workshop information

    Spring 2026 workshop schedule.

       Date:    TBA

       Time:    TBA

       Location:    6625 Everett Tower.

       Topic:    Introduction to causal inference.

       There is no registration fee. Plus, enjoy a complimentary lunch during the workshop.

    Workshop material (Lecture and R Code).