Hierarchical Bayesian Modeling
Gwendolyn Eadie, Postdoctoral Fellow, Dept. of Astronomy
In this class, we will introduce Bayesian Data Analysis with a hands-on exercise. Participants will learn the basics of Bayes’ theorem and will be presented with a question they need to answer using Bayesian inference. I will be guiding you through how to choose a likelihood and how to quantify your prior knowledge about the problem. There will be lots of questions and discussion! You will receive some actual data and be asked to perform Bayesian inference.
Participants are asked to please bring their laptop and to arrive ready to use Python, R, or another coding language to make some exploratory figures and perform the analysis. A computer script written in R will be available for use, for those less experienced in coding and/or if time is limited. If you plan to use these scripts then please arrive with R installed.
More information on this seminar series available here: https://escience.washington.edu/get-involved/topics-in-data-science-seminar/
This event is open to the public.