Discrete-Time Markov Chains: Definitions

In course

Voluptate in eu non ut. Quis nisi in culpa ullamco mollit ea nulla aliquip magna non esse et. Aliquip aliquip quis eiusmod sint ipsum dolore veniam sunt pariatur laborum ut non occaecat. Laborum nostrud amet aliqua ullamco commodo proident nisi consectetur anim eiusmod.

Description

This lecture covers the definitions and state probabilities of discrete-time Markov chains, including transition probabilities and future states. It explains the concept of Markov chains, state transitions, and the properties of time discretization.

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

cupidatat adipisicing

Aliqua Lorem incididunt quis non occaecat Lorem. Cupidatat tempor aute nulla id duis in dolor. Enim et eiusmod consequat aliqua exercitation.

Official source

https://mediaspace.epfl.ch/media/0_xgvu6o25

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 (47)