Lecture

Biased Monte Carlo Markov Chain

In course

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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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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_s5clirk5

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Bayesian inference

Physics

Thermodynamics: Statistical mechanics

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