Resources

.bib file of all references

Books we’ll read

Statistical Rethinking

Richard McElreath, Statistical Rethinking: A Bayesian Course with Examples in R and Stan (McElreath 2020)

Official links:

Translations:

Bayes Rules

Alicia A. Johnson,, Miles Q. Ott, and Mine Dogucu. Bayes Rules! An Introduction to Applied Bayesian Modeling (Johnson, Ott, and Dogucu 2022)

Official links:

Articles we’ll read

  • Kruschke, John K., and Torrin M. Liddell. “The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective” (Kruschke and Liddell 2018)
  • Kruschke, John K. “Bayesian Estimation Supersedes the t Test.” (Kruschke 2013)
  • More to come!

Other books

We don’t have time to cover these this semester, but these are all really great and useful resources!

References

Arel-Bundock, Vincent. 2020. Statistical Rethinking 2 with Stan and R. https://vincentarelbundock.github.io/rethinking2/.
Downey, Allen B. 2021. Think Bayes. 2nd ed. Green Tea Press. https://allendowney.github.io/ThinkBayes2/.
Gelman, Andrew, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. 2013. Bayesian Data Analysis. 3rd ed. Boca Raton, Florida: Chapman and Hall / CRC.
Johnson, Alicia A., Miles Q. Ott, and Mine Dogucu. 2022. Bayes Rules! An Introduction to Applied Bayesian Modeling. Boca Raton, Florida: Chapman and Hall / CRC. https://www.bayesrulesbook.com/.
Kruschke, John K. 2013. “Bayesian Estimation Supersedes the t Test.” Journal of Experimental Psychology 142 (2): 573–603. https://doi.org/10.1037/a0029146.
———. 2015. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan. 2nd ed. London: Academic Press / Elsevier. https://doi.org/10.1016/c2012-0-00477-2.
Kruschke, John K., and Torrin M. Liddell. 2018. “The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective.” Psychonomic Bulletin & Review 25 (1): 178–206. https://doi.org/10.3758/s13423-016-1221-4.
Kurz, A. Solomon. 2021. Statistical Rethinking with brms, ggplot2, and the tidyverse. 2nd ed. https://bookdown.org/content/4857/.
———. 2022. Doing Bayesian Data Analysis in brms and the tidyverse. https://bookdown.org/content/3686/.
Lambert, Ben. 2018. A Student’s Guide to Bayesian Statistics. Los Angeles, CA: Sage. https://ben-lambert.com/a-students-guide-to-bayesian-statistics/.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. 2nd ed. Boca Raton, Florida: Chapman and Hall / CRC. https://xcelab.net/rm/statistical-rethinking/.