Applied Bayesian Statistics

DataLab’s Applied Bayesian Statistics Research Cluster announcement

During 2019-2020 academic year, the DataLab is convening an Applied Bayesian Statistics cluster to work through an advance copy of the as yet unreleased 2nd edition of former UC Davis Professor Richard McElreath’s Statistical Rethinking. Most meetings cover a single chapter of the book and focus on discussing Bayesian theory and applications (i.e., chapter content and problem sets), with extensions into the participants’ own work.

Winter 2020 meetings are on alternating Tuesdays, 2:00-3:30pm, starting January 14th. Each week, we’ll discuss the text and problem sets of a single chapter of the Rethinking text, continuing with Chapter 5 on our first meeting of the Winter quarter. Participants are expected to have engaged their material between meetings and come prepared with thoughts and confusions.

Want to sign up or have questions? Contact the graduate student lead, Nick Lashinksy.

What is a Research Cluster? A Research Cluster is an interdisciplinary group of researchers (undergraduate and graduate students, faculty, post docs, staff, etc.) that meet to learn and apply concepts and methods with an aim towards furthering their research capabilities.