Catalog · Discrete Stochastic Processes Lecture 6 of 25 Lecture 6: From Poisson to Markov ← Previous Lecture 5: Poisson Combining and Splitting Next → Lecture 7: Finite-state Markov Chains; The Matrix Approach ✓ Mark complete Materials Transcript (PDF) ↗ transcript