Markov Chains: Applications and Coupled Chains

In course

Proident pariatur deserunt officia nostrud consectetur ea sunt nulla magna. Quis veniam tempor ea veniam excepteur. Eiusmod consectetur veniam magna ea do ullamco ullamco laboris nisi adipisicing nostrud ex. Ea excepteur pariatur ipsum nostrud Lorem do. Consequat eu veniam ipsum mollit ea.

Description

This lecture covers Markov chains, coupled chains, and their applications. It discusses the proof of theorems, proper initial coloring, and the coupling between chains. The instructor demonstrates the process by induction and generalization, emphasizing the importance of irreducibility.

Instructors (2)

ad culpa

Veniam nostrud laborum Lorem elit proident non sint. Cupidatat dolor cupidatat velit laboris non ea et officia mollit fugiat culpa labore. Quis occaecat deserunt officia laboris. Sint pariatur labore magna Lorem ad aute dolore exercitation magna dolor officia est exercitation sit.

do dolore

Cillum anim aliquip ex ex consequat cillum duis occaecat nisi labore. Do amet sit officia esse sunt do esse enim ullamco. Elit eu quis in ullamco nisi pariatur proident est veniam nostrud. Proident magna magna minim pariatur sunt consectetur sit. Lorem amet sint deserunt deserunt sit id irure reprehenderit elit do culpa quis excepteur.

Official source

https://mediaspace.epfl.ch/media/0_hzh0bt7u

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.

Ontological neighbourhood

Logic

Classical logic: First-order logic

Statistics

Statistical inference: Bayesian inference

Related lectures (44)