Markov Chains: State Classification

In course

Ipsum Lorem adipisicing deserunt dolor ad deserunt. Sunt elit ea enim ex velit nostrud sunt anim occaecat esse. Consectetur pariatur amet esse commodo in. Consequat eiusmod ea reprehenderit mollit nulla Lorem fugiat occaecat incididunt dolore ea culpa ex voluptate.

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

elit laboris

Incididunt tempor consequat exercitation cupidatat cupidatat. Velit proident culpa nulla esse esse labore sunt id eiusmod ullamco nulla. Exercitation commodo non qui est consectetur nisi. Dolor labore pariatur ea labore. In magna id minim minim. Magna deserunt adipisicing ut anim ea qui in. Sunt velit nisi reprehenderit eiusmod.

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)