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Lecture 21: The Bernoulli Process (M-I-T)

(10 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L21.10 The Poisson Approximation to the Binomial (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L21.1 Lecture Overview (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L21.2 The Bernoulli Process (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L21.3 Stochastic Processes (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L21.4 Review of Known Properties of the Bernoulli Process (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L21.5 The Fresh Start Property (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L21.6 Example: The Distribution of a Busy Period (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L21.7 The Time of the K-th Arrival (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L21.8 Merging of Bernoulli Processes (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
10
  • L21.9 Splitting a Bernoulli Process (M-I-T)
Lecture 21: The Bernoulli Process (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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