Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Monte Carlo Markov Chains
Description
This lecture covers the concept of Monte Carlo Markov Chains, focusing on iterative algorithms for sampling trial configurations and accepting states based on probabilities. It also discusses Metropolis-Hastings and Gibbs sampling methods, emphasizing detailed balance and convergence criteria.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.