This lecture covers the definitions and state probabilities of discrete-time Markov chains, including transition probabilities, future states, and chain properties. It also discusses Markov chains in both discrete and continuous time.
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