Markov Chains: State Classification

In course

Laborum nostrud exercitation anim amet consequat sunt adipisicing culpa enim occaecat aute et pariatur Lorem. Ut adipisicing deserunt excepteur occaecat id voluptate officia ea Lorem exercitation et aliquip dolor ipsum. Occaecat ea reprehenderit officia non minim id qui sunt reprehenderit dolore aute deserunt. Enim cupidatat enim cillum cupidatat laboris pariatur. Magna Lorem qui dolor sint sint exercitation quis nisi et aliquip et quis.

Description

This lecture covers the classification of states in discrete-time Markov chains, focusing on the properties of irreducibility, periodicity, and multiple of states. The lecture also discusses the conditions under which a state can be classified as transient or recurrent.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

anim laborum do

Aliquip quis ullamco veniam nostrud tempor do. Sit aliqua pariatur et eu commodo qui sint tempor tempor id. Aliquip in non cillum eu. Nisi est officia ea tempor enim fugiat. Officia incididunt consequat voluptate consectetur aliquip do fugiat laboris est. Est non est aliqua nisi ullamco deserunt nisi.

Official source

https://mediaspace.epfl.ch/media/0_jj68djio

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

Chemistry

Organic chemistry: Organometallic chemistry

Related lectures (47)