Completed
10. Renewals and the Strong Law of Large Numbers
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Discrete Stochastic Processes
Automatically move to the next video in the Classroom when playback concludes
- 1 1. Introduction and Probability Review
- 2 2. More Review; The Bernoulli Process
- 3 3. Law of Large Numbers, Convergence
- 4 4. Poisson (the Perfect Arrival Process)
- 5 5. Poisson Combining and Splitting
- 6 6. From Poisson to Markov
- 7 7. Finite-state Markov Chains; The Matrix Approach
- 8 8. Markov Eigenvalues and Eigenvectors
- 9 9. Markov Rewards and Dynamic Programming
- 10 10. Renewals and the Strong Law of Large Numbers
- 11 11. Renewals: Strong Law and Rewards
- 12 12. Renewal Rewards, Stopping Trials, and Wald's Inequality
- 13 13. Little, M/G/1, Ensemble Averages
- 14 14. Review
- 15 15. The Last Renewal
- 16 16. Renewals and Countable-state Markov
- 17 17. Countable-state Markov Chains
- 18 18. Countable-state Markov Chains and Processes
- 19 19. Countable-state Markov Processes
- 20 20. Markov Processes and Random Walks
- 21 21. Hypothesis Testing and Random Walks
- 22 22. Random Walks and Thresholds
- 23 23. Martingales (Plain, Sub, and Super)
- 24 24. Martingales: Stopping and Converging
- 25 25. Putting It All Together
