Bayesian Hierarchical Modeling Short Course
Along with Tom Hobbs and Mary Collins, I teach an 11-day Bayesian hierarchical modeling course each summer at the National Socio-Environmental Synthesis Center in Annapolis, Maryland. Our course is geared towards faculty and postdoctoral and graduate students, as well as scientists from tribal, state, and federal agencies. We provide a principles-based understanding of Bayesian methods needed to train students, evaluate papers and proposals, and solve research problems. If you are interested in taking our course in June 2020, keep an eye out for our course advertisment on SESYNC’s website (roughly) in December 2019.
I believe strongly in transparency and reproducibility in all aspects of science, and have found that tools and practices such as code repositories, version control, and digital notebooks, add considerable value to teaching complex subjects. Given this, I have made our course materials, as well their underlying code, publicy available under the GNU GPLv3 license. If you find errors, either big or small, please let me know so I can correct them. Teaching Bayesian statistics effectively to students with diverse backgrounds in a short space of time is quite hard. Please consider submiting a pull request after making significant changes to the course materials so we can benefit from your improvements.