Learning Bayesian Statistics cover image

#37 Prophet, Time Series & Causal Inference, with Sean Taylor

Learning Bayesian Statistics

00:00

The Continuous Expansion of the Models

benjamen theory says that you should integrate over these uncertainties. So then continuously expanding your model would be, will then build a model whose extreme cases are the completable model. And by doing that, you're integrating over your uncertainty over what kind of model you have to use. I its super interesting and really good boin t indeed.

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