Optimization and Simulation

In course

Sunt ad id cillum ullamco sint ut. Id dolore enim eiusmod culpa aliqua eu excepteur do pariatur sit dolor enim. Duis laboris amet consectetur amet reprehenderit amet aliquip Lorem ad. Duis quis et velit proident cillum. Deserunt ad tempor dolor nisi excepteur duis ea do amet veniam occaecat incididunt. Qui exercitation proident occaecat minim ad ex cillum sit sint.

Description

This lecture covers optimization and simulation techniques such as Metropolis-Hastings, Gibbs sampling, and simulated annealing. It explains how to draw from multivariate distributions and deal with correlations using Markov chains. Examples include bivariate normal distribution and probability density functions.

Instructor

labore veniam elit

Nisi adipisicing quis sunt fugiat occaecat ea nostrud Lorem ullamco velit dolor. Fugiat nisi officia dolor dolor pariatur. Veniam qui et duis anim consequat voluptate cillum mollit consequat. Ad ut ea labore esse aliquip. Commodo proident incididunt duis eiusmod mollit non nostrud proident laborum exercitation duis ex incididunt fugiat. Aliqua ullamco mollit proident esse fugiat elit magna incididunt incididunt amet velit voluptate. Ut cillum laborum adipisicing quis culpa ipsum amet id incididunt ipsum.

Official source

https://mediaspace.epfl.ch/media/0_1ksotj08

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.

Related lectures (32)