Gibbs Sampling Explained: The Wisdom of Divide and Conquer
When high-dimensional spaces are overwhelming, Gibbs sampling adopts a ‘divide and conquer’ strategy. By utilizing full conditional distributions, it breaks down complex N-dimensional joint sampling into N simple 1-dimensional sampling steps. This article explains its intuition, mathematical proof (Brook’s Lemma), and Python implementation.
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