Home » Week 1 - lecture 1
1.1. Why Markov Chains?
1.2. Random Mapping Representation
1.3. Irreducibility and Aperiodicity
1.4. Random Walks on Graphs
1.5. Stationary Distributions
Lecture notes (Lecture 1,2) >>
Look at: Week 1 - lecture 2