Lesson 22a Hierarchical Bayes: Concepts
Channel: Michael Dietze
Date: 2020-03-24

Boston University EE509 "Applied Environmental Statistics" Course: This lecture is the first in a series on Hierarchical Bayesian models and serves to introduce the basic concepts, using a simple hierarchical means model as an example. Key features of hierarchical models are their ability to model and partition sources of variability in a models PARAMETERS, to borrow strength across datasets, and to distinguish in-sample vs. out-of-sample prediction.   http://people.bu.edu/dietze/Bayes2020/EE509.htm