Lecture

Continuous Time Markov Chains

In course

Amet elit et sint velit dolor voluptate do irure incididunt reprehenderit. Sunt irure veniam ipsum magna eiusmod est ullamco. Nisi irure ut voluptate occaecat ipsum. Nostrud commodo et dolor minim proident in incididunt ea excepteur anim velit.

Description

This lecture covers the basic theory for continuous time Markov chains, discussing concepts such as communication, hitting probabilities, recurrence, and transience. The instructor explains the definitions, theorems, and proofs related to these fundamental concepts.

Instructor

labore tempor qui

Ea sint laborum officia ut magna consectetur adipisicing deserunt nisi duis aliqua ut culpa. Officia excepteur nisi laborum magna amet adipisicing laboris et sunt laboris qui minim mollit. Culpa nisi non cupidatat ullamco.

Official source

https://mediaspace.epfl.ch/media/0_m3fmy6m8

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

Communication studies

Mass communication: Topics in mass communication

Related lectures (46)

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.