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

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May 9, 2023·edited May 9, 2023Liked 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)?

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