Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Recurrence and Transience: Markov Chains
In course
DEMO: in elit veniam
Aliqua est excepteur duis laboris ad nulla proident ex sunt culpa tempor reprehenderit velit. Labore labore dolore ut ea minim irure proident eu fugiat. Non et officia voluptate amet ut commodo sunt minim laboris in. Commodo do nulla deserunt laboris amet ipsum esse qui velit nulla. Ex adipisicing magna amet deserunt tempor. Anim dolor excepteur nisi eiusmod proident velit proident deserunt aliquip culpa. Sunt deserunt eiusmod veniam velit qui officia sint id laborum non ipsum commodo proident.
Description
This lecture covers the concepts of recurrence and transience in Markov chains, exploring the strong Markov property, first passage times, and the classification of states into recurrent and transient. The instructor explains how the chain behaves when reaching specific states and the implications of these behaviors on the long-term evolution of the chain.
Official source
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.