Lecture

Continuous-Time Markov Chains: Reversible Chains

Description

This lecture covers Mod.7 on continuous-time Markov chains, focusing on reversible chains. Topics include transition probabilities, stationary distribution, ergodicity, and reversibility. The lecture also discusses the properties of reversible chains and their applications in communication systems.

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

duis non incididunt laborum

Proident officia commodo exercitation velit ad labore qui consectetur cillum. Qui ut culpa labore sit et ad commodo. Pariatur enim fugiat id ea proident eiusmod. Ullamco enim mollit nisi amet incididunt sit nostrud.

Official source

https://mediaspace.epfl.ch/media/0_vjy8cpjz

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

Mathematics

Algebra: Equations

Number theory: Number theory

Statistics

Statistical inference: Bayesian inference

Physics

Physical quantities: Topics in physical quantities

Related lectures (63)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.