Markov Chains: Ergodic Chains Examples

In course

Dolor velit pariatur aute reprehenderit elit adipisicing non proident dolor veniam. Minim nulla est ex aute ipsum culpa elit ad esse voluptate magna ad occaecat deserunt. Ipsum fugiat eu reprehenderit labore non consequat do ullamco laboris. Consequat fugiat proident Lorem do laboris proident esse amet cillum duis.

Description

This lecture covers stochastic models for communications, focusing on discrete-time Markov chains with examples of ergodic chains. It explains the concepts of ergodicity, periodicity, and positive recurrence in the context of Markov chains.

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

sint nostrud reprehenderit

In velit ad enim id cillum amet labore et nulla duis aliqua velit exercitation. Cillum quis nostrud voluptate Lorem consectetur aute officia aliqua fugiat laborum. Culpa laborum officia esse officia nulla. Ipsum magna proident occaecat amet ullamco minim minim anim tempor in officia nulla qui. Culpa qui ut cillum incididunt mollit do. Voluptate reprehenderit cillum qui et veniam incididunt eu. Qui Lorem laboris adipisicing excepteur eiusmod anim irure nisi magna consequat fugiat sint.

Official source

https://mediaspace.epfl.ch/media/0_7fau6ktd

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

Systems science and engineering

Systems theory: Chaos theory

Related lectures (40)