4 Comments

I don't think I've laughed this much reading an article on Bayesian modeling. This was such a fun read!

Expand full comment
May 9·edited May 9Liked by Christoph Molnar

Thanks for this article! I'm taking a bayesian statistics course and would to clarify something. Is it true that P(X) is the normalizing constant, and in practice, we can just take the numerator P(X|θ) P(θ) which is proportional to the posterior distribution, and MCMC is used to sample from an unknown form of the posterior distribution. And there is no need to deal with P(X)?

Expand full comment