MCMC Examples and Error Estimation

In course

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Description

This lecture covers Markov Chain Monte Carlo (MCMC) examples and error estimation methods. It discusses the convergence time, forgetting initial conditions, and choosing parameters for sampling. Various Markov chain examples are presented, along with detailed error estimation techniques.

Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Bayesian inference

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