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Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T)

(76 Lectures Available)

S# Lecture Course Institute Instructor Discipline
51
  • Joint Probability Mass Function (PMF) Drill 2 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
52
  • Markov Chain Practice 1 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
53
  • Mean & Variance of the Exponential (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
54
  • Mean First Passage and Recurrence Times (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
55
  • Network Reliability (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
56
  • Normal Probability Calculation (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
57
  • PMF of a Function of a Random Variable (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
58
  • Probability that Three Pieces Form a Triangle (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
59
  • Probabilty Bounds (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
60
  • Random Incidence Under Erlang Arrivals (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
61
  • Rooks on a Chessboard (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
62
  • Sampling People on Buses (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
63
  • Setting Up a Markov Chain (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
64
  • The Absent Minded Professor (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
65
  • The Coupon Collector Problem (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
66
  • The Difference of Two Independent Exponential Random Variables (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
67
  • The Monty Hall Problem (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
68
  • The Probability Distribution Function (PDF) of [X] (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
69
  • The Probability of the Difference of Two Events (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
70
  • The Sum of Discrete and Continuous Random Variables (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
71
  • The Variance in the Stick Breaking Problem (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
72
  • Uniform Probabilities on a Square (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
73
  • Uniform Probabilities on a Triangle (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
74
  • Using the Central Limit Theorem (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
75
  • Using the Conditional Expectation and Variance (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences

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