This is an automated archive made by the Lemmit Bot.

The original was posted on /r/machinelearning by /u/Sea_Farmer5942 on 2025-01-18 03:29:40+00:00.

Hey guys,

So I am very new to Bayesian methods and am curious about it from a data science and modelling point of view and how it could determine causal relationships.

I don’t really know where to start, but I’ve read some papers on Bayesian Networks and have heard interesting things about Bayesian Deep Learning so would be happy to see any recommendations on those topics.

I would also be happy to hear about any papers you may have recently read, but am looking for anything you guys have found interesting and not an application on any specific domain, just interested in learning the theory for now (unless you suggest that I pick a domain first).

Many thanks