Lecture

Markov Chains: Ergodic Chains Examples

Description

This lecture covers stochastic models for communications, focusing on discrete-time Markov chains. Topics include ergodic chains, examples of irreducible, ergodic, aperiodic, and recurrent positive chains. The lecture also discusses stationary distribution, transition probabilities, and properties of Markov chains.

Instructor

magna laboris fugiat

Elit excepteur nostrud nisi commodo labore sint eiusmod consectetur. Laboris amet esse non excepteur pariatur eu do eu enim sit est in excepteur nostrud. Aute incididunt sunt et minim elit. Anim non ex laborum sunt culpa velit anim duis do veniam. Reprehenderit amet dolore Lorem Lorem quis minim mollit.

Official source

https://mediaspace.epfl.ch/media/0_8m2n9p8a

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 (33)

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.