Catalog · Discrete Stochastic Processes Lecture 7 of 25 Lecture 7: Finite-state Markov Chains; The Matrix Approach ← Previous Lecture 6: From Poisson to Markov Next → Lecture 8: Markov Eigenvalues and Eigenvectors ✓ Mark complete Materials Transcript (PDF) ↗ transcript