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Lecture 22: The Poisson Process Part I (M-I-T)

(10 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L22.10 An Example (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L22.1 Lecture Overview (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L22.2 Definition of the Poisson Process (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L22.3 Applications of the Poisson Process (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L22.4 The Poisson PMF for the Number of Arrivals (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L22.5 The Mean and Variance of the Number of Arrivals (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L22.6 A Simple Example (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L22.7 Time of the K–th Arrival (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L22.8 The Fresh Start Property and Its Implications (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
10
  • L22.9 Summary of Results (M-I-T)
Lecture 22: The Poisson Process Part I (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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