Undergraduate Bayesian Education: Resources

Papers

Albert, J., & Hu, J. (2020). Bayesian Computing in the Undergraduate Statistics Curriculum. Journal of Statistics and Data Science Education.
Bolstad, W. M. (2002). Teaching Bayesian statistics to undergraduates: Who, what, where, when, why, and how. In Proceedings of the Sixth International Conference on Teaching of Statistics.
Dogucu, M. & Hu, J. (2022). The Current State of Undergraduate Bayesian Education and Recommendations for the Future. The American Statistician
Hoegh, A (2020). Why Bayesian ideas should be introduced in the Statistics curricula and how to do so. Journal of Statistics Education
Hu, J. and Dogucu, M. (2022). Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations. Stat.
Hu, J. (2020). A Bayesian Statistics Course for Undergraduates: Bayesian Thinking, Computing and Research. Journal of Statistics Education.
Johnson, A., Rundel, C., Hu, J., Ross, K., & Rossman, A. (2020). Teaching an Undergraduate Course in Bayesian Statistics: A Panel Discussion. Journal of Statistics Education, 28(3), 251-261.
Page, R., & Satake, E. (2017). Beyond P Values and Hypothesis Testing: Using the Minimum Bayes Factor to Teach Statistical Inference in Undergraduate Introductory Statistics Courses. Journal of Education and Learning, 6(4), 254-266.
Rouder, J.N. & Morey, R.D. (2019). Teaching Bayes’ Theorem: Strength of Evidence as Predictive Accuracy
Sarafoglou, A., van der Heijden, A., Draws, T., Cornelisse, J., Wagenmakers, E. J., & Marsman, M. (2018). Combine Statistical Thinking With Scientific Practice: A Protocol of a Bayesian Thesis Project For Undergraduate Students. arXiv preprint arXiv:1810.07496.
Stewart, S., & Stewart, W. (2014). Teaching Bayesian statistics to undergraduate students through debates. Innovations in Education and Teaching International, 51(6), 653-663.
Stewart, W., & Stewart, S. (2014). Teaching Markov Chain Monte Carlo: Revealing the Basic Ideas Behind the Algorithm. PRIMUS, 24(1), 25-45.
van Doorn, J., Matzke, D., & Wagenmakers, E. J. (2020). An in-class demonstration of Bayesian inference. Psychology Learning & Teaching, 19(1), 36-45.
Witmer, J. (2017). Bayes and MCMC for undergraduates. The American Statistician, 71(3), 259-264.

Editing the List

If you would like to make suggestions to this list, please do so either by creating an issue or a pull request on the GitHub repo (prefered) or via email. Please note that this list specifically focuses on undergraduate Bayesian education. If you are making suggestions of a resource, please note how it is appropriate at the undergraduate level if it is not obvious from the title or abstract.