Teaching and Learning Materials:
Textbooks:
(in the order of 1st edition publication year)- Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan by John Kruschke; 1st edition in 2012, 2nd edition in 2014
- Bayesian Essentials with R by Jean-Michel Marin and Christian P. Robert; 1st edition in 2014; R package bayess
- Statistical Rethinking - A Bayesian Course with Examples in R and Stan by Richard McElreath; 1st edition in 2016, 2nd edition in 2020; R package rethinking Book review by Jim Albert
- Bayesian Statistical Methods by Brian J. Reich and Sujit K. Ghosh; 1st edition in 2019
- Probability and Bayesian Modeling by Jim Albert and Monika Hu; 1st edition in 2019; R package ProbBayes
- Bayes Rules! An Introduction to Bayesian Modeling with R by Alicia A. Johnson, Miles Ott, and Mine Dogucu; 1st edition in 2022; R package bayesrules
Course materials:
- Statistical Rethinking by Richard McElreath; undergraduate and graduate
- Bayesian Data Analysis course at Aalto by Aki Vehtari; undergraduate and graduate
- Bayesian and Modern Statistics at Duke University by Jeff Miller; undergraduate and graduate
- Introduction to Bayesian data analysis at University of Potsdam by Shravan Vasishth; a focus on linguistics and psychology
- Bayesian Statistics at Vassar College by Monika Hu; undergraduate
- Bayesian Statistics at Carleton College by Adam Loy; undergraduate
Journal Articles:
Articles on courses and curriculum:
- Teaching elementary Bayesian statistics with real applications in science Berry, D. A. (1997), The American Statistician, 51, 241-246.
- Bayes for beginners? some reasons to hesitate Moore, D. S. (1997), The American Statistician, 51, 254-261.
- Teaching Bayesian statistics to marketing and business students Allenby, G. M. and Rossi, P. E. (2008), The American Statistician, 62, 195-198.
- The evolution of teaching Bayesian statistics to nonstatisticians: a partisan view from the trenches Utts, J. and Johnson, W. (2008), The American Statistician, 62, 199-201.
- Teaching Bayes to graduate students in political science, sociology, public health, education, economics, … Gelman, A. (2008), The American Statistician, 62, 202-205.
- Bayes and MCMC for undergraduates Witmer, J. (2017), The American Statistician, 71, 259-264.
- Why Bayesian ideas should be introduced in the statistics curricula and how to do so Hoegh, A. (2020), Journal of Statistics Education, 28, 222-228.
- A Bayesian statistics course for undergraduates: Bayesian thinking, computing, and research Hu, J. (2020), Journal of Statistics Education, 28, 229-235.
- Teaching an undergraduate course in Bayesian statistics: a panel discussion Johnson, A., Rundel, C., Hu, J., Ross, K. and Rossman, A. (2020), Journal of Statistics Education, 28, 251-261.
Articles on teaching tools:
- A Bayesian Analysis Suitable for Classroom Presentation Franck, W. E., Hewett, J. E., Islam, M. Z., Wang, S. J. and Cooperstock, M. (1988), The American Statistician, 42, 75-77.
- Teaching Bayes' rule: a data-oriented approach. Albert, J. (1997), The American Statistician, 51, 247-253.
- Teaching Bayesian model comparison with the three-sided coin Kuindersma, S. R. and Blais, B. S. (2007), The American Statistician, 61, 239-244.
- Teaching Bayes' theorem: strength of evidence as predictive accuracy Rouder, J. N. and Morey, R. D. (2019), The American Statistician, 73, 186-190.
- Introducing Bayesian analysis with m&m's: an active-learning exercise for undergraduates Eadie, G., Huppenkothen, D., Springford, A. and McCormick, T. (2019), Journal of Statistics Education, 27, 60-67.
- A web simulator to assist in the teaching of Bayes' theorem Barcena, M. J., Garin, M. A., Martin, A., Tusell, F. and Unzueta, A. (2019), Journal of Statistics Education, 27, 68-78.
- Bayesian computing in the undergraduate statistics curriculum Albert, J. and Hu, J. (2020), Journal of Statistics Education, 28, 236-247.
Conference and Workshops:
- CAUSE & JSDSE 2021 webinar series on Bayesian Methods and the Statistics and Data Science Curriculum