MIT 6.262 Discrete Stochastic Processes, Spring 2011

View the complete course: http://ocw.mit.edu/6-262S11Instructor: Robert Gal
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View the complete course: ocw.mit.edu/6-262S11
Instructor: Robert Gallager

Lecture videos from 6.262 Discrete Stochastic Processes, Spring 2011.

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Course Outline

Chapter 1: MIT 6.262 Discrete Stochastic Processes, Spring 2011

  • Lesson 1
    1. Introduction and Probabi…
    01:16:27
  • Lesson 2
    2. More Review; The Bernoul…
    01:08:20
  • Lesson 3
    3. Law of Large Numbers, Co…
    01:21:28
  • Lesson 4
    4. Poisson (the Perfect Arr…
    01:17:14
  • Lesson 5
    5. Poisson Combining and Sp…
    01:24:32
  • Lesson 6
    6. From Poisson to Markov
    01:19:17
  • Lesson 7
    7. Finite-state Markov Chai…
    55:34
  • Lesson 8
    8. Markov Eigenvalues and E…
    01:23:38
  • Lesson 9
    9. Markov Rewards and Dynam…
    01:23:36
  • Lesson 10
    10. Renewals and the Strong…
    01:21:53
  • Lesson 11
    11. Renewals: Strong Law an…
    01:18:17
  • Lesson 12
    12. Renewal Rewards, Stoppi…
    01:26:22
  • Lesson 13
    13. Little, M/G/1, Ensemble…
    01:14:53
  • Lesson 14
    14. Review
    01:19:19
  • Lesson 15
    15. The Last Renewal
    01:15:44
  • Lesson 16
    16. Renewals and Countable-…
    01:19:40
  • Lesson 17
    17. Countable-state Markov …
    01:23:46
  • Lesson 18
    18. Countable-state Markov …
    01:16:29
  • Lesson 19
    19. Countable-state Markov …
    01:22:15
  • Lesson 20
    20. Markov Processes and Ra…
    01:23:09
  • Lesson 21
    21. Hypothesis Testing and …
    01:25:23
  • Lesson 22
    22. Random Walks and Thresh…
    01:21:17
  • Lesson 23
    23. Martingales (Plain, Sub…
    01:22:40

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