Learning Bayesian Statistics cover image

#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd Hudson

Learning Bayesian Statistics

00:00

The Model Comparison Algorithm, Is Not Derived Directly From Base Theorem

The model comparison algorithm, or model selection algorithm. That's what you use when you when you ere comparing hypotheses and models. The only deviation from computing posterior is that i look at the likelihood ratios at the end,. rather than the posterior probabilities. But beyond that, it's directly derived from base theorem.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app