depth first search

Here’s a figure that keeps mysteriously appearing in presentations.

It is a cartoon representation of model evidence (from Bishop’s Pattern Recognition and Machine Learning), but it seems to often be mistaken for Bayesian model comparison generally.

I’ve become increasingly convinced that I need to understand both applied and theoretical Bayesian inference. Since the department offers no courses on the subject (Engineering might, but that will have to wait for another semester), I’m collecting library books that deal (sometimes tangentially) with the subject.

The library has a lot of books that have one or more of the words Bayesian, statistics, inference or probability in the title.

I picked four at random to start:

1. Basic Principles and Applications of Probability Theory

2. Kendall’s Advance Theory of Statistics Volume 2B Bayesian Inference

3. Baseyian Core: A Practicle Approach to Computational Bayesian Statistics

4. Foundations of Modern Probability

We’ll see how it goes.