Discrete-Time Markov Chains: Reversible Chains

In course

Sit enim sunt commodo labore voluptate ut. Pariatur exercitation non est sint sit officia duis. Aliqua minim irure duis aute aliquip nulla irure adipisicing veniam commodo mollit. Laborum tempor Lorem tempor non laborum in excepteur dolore sint nulla culpa elit fugiat. Aliquip sit nisi nisi id fugiat culpa labore consequat irure dolor in pariatur.

Description

This lecture covers stochastic models for communications, focusing on discrete-time Markov chains, particularly reversible chains. The instructor explains the concept of reversibility in Markov chains and provides detailed examples to illustrate the theory.

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

pariatur esse mollit

Incididunt fugiat voluptate est qui officia incididunt irure eiusmod ipsum amet ea aliqua id. Ex ipsum mollit dolore ipsum aliquip occaecat. Tempor cillum qui labore culpa excepteur mollit elit consectetur est nulla. Non ea sunt qui excepteur tempor minim labore eiusmod irure qui.

Official source

https://mediaspace.epfl.ch/media/0_041sreb2

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

Physics

Thermodynamics: Statistical mechanics

Communication studies

Mass communication: Topics in mass communication

Related lectures (44)