Since then, of course, I've been bringing up a few Bayesian points in class when relevant. On his end, the prof goes so far as to point out that Bayes Law is not strictly necessary whenever he uses it, and work through the problem a second time avoiding Bayes Law.
This makes me want to write about a few things.
- Higher Moments
- The square and the second moment
- Least-square fitting
- p-testing and the sort of refutation which Bayesianism is capable of
- covariance vs mutual information, variance vs entropy
- Information theory (& coding theory) as a foundation for subjective probability