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Lecture
Biased Monte Carlo Markov Chain
Description
This lecture covers the concept of Biased Monte Carlo Markov Chain, discussing topics such as Bayes-optimal estimation, Metropolis-Hastings algorithm, detailed balance, and posterior measure. The slides provide a detailed explanation of the key concepts and algorithms used in Monte Carlo simulations.
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