I'm studying Gibbs Sampling for inference, a popular MCMC algorithm and I was stunned by its ability to fit a Gaussian Mixture just by sampling.
I would like to know the intuition behind it, and why it works.
2026-03-26 01:28:06.1774488486
Intuition behind convergence of MCMC inference methods
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