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2:50
YouTube
DataMListic
Metropolis-Hastings - Explained
This video explains the Metropolis-Hastings algorithm, a core Markov Chain Monte Carlo (MCMC) method used to sample from complex probability distributions. It shows how proposal distributions work, how acceptance and rejection are decided using density ratios, why detailed balance guarantees convergence, and how practical choices like step size ...
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