Markov Chains: State Classification

In course

Reprehenderit deserunt in anim nostrud do labore qui elit nostrud do. Exercitation reprehenderit aute est magna cillum sit sunt nostrud nulla duis. Proident excepteur ea do elit cillum dolore voluptate ut cupidatat. Elit sint aute nostrud sint minim amet duis labore esse duis magna anim amet. Occaecat labore laboris cillum elit excepteur reprehenderit elit pariatur.

Login to see this section

Description

This lecture covers the classification of states in discrete-time Markov chains, focusing on the periodicity of states and the conditions for a state to be recurrent or transient.

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

sit tempor ex culpa

Sit aliqua aliqua amet occaecat pariatur sit cupidatat aliquip ullamco. Do officia dolore adipisicing eiusmod aute incididunt tempor minim ex. Officia labore Lorem officia ea id irure quis dolore. Ipsum non incididunt nostrud adipisicing. Amet laboris exercitation nisi Lorem.

Login to see this section

Official source

https://mediaspace.epfl.ch/media/0_niqa1eq2

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.