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

(76 Lectures Available)

S# Lecture Course Institute Instructor Discipline
26
  • A Chess Tournament Problem (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
27
  • A Coin Tossing Puzzle (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
28
  • A Coin with Random Bias (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
29
  • A Derived Distribution Example (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
30
  • A Mixed Distribution Example (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
31
  • A Random Number of Coin Flips (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
32
  • A Random Walker (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
33
  • Ambulance Travel Time (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
34
  • An Inference Example (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
35
  • Bernoulli Process Practice (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
36
  • Calculating a Cumulative Distribution Function (CDF) (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
37
  • Communication over a Noisy Channel (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
38
  • Competing Exponentials (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
39
  • Conditional Probability Example (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
40
  • Convergence in Probability and in the Mean Part 1 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
41
  • Convergence in Probability and in the Mean Part 2 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
42
  • Convergence in Probability Example (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
43
  • Flipping a Coin a Random Number of Times (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
44
  • Geniuses and Chocolates (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
45
  • Hypergeometric Probabilities (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
46
  • Inferring a Continuous Random Variable from a Discrete Measurement (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
47
  • Inferring a Discrete Random Variable from a Continuous Measurement (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
48
  • Inferring a Parameter of Uniform Part 1 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
49
  • Inferring a Parameter of Uniform Part 2 (M-I-T)
Probabilistic System Analysis And Applied Probability (Fall 2013) (M-I-T) MIT Prof. Dr. John Tsitsiklis Applied Sciences
50
  • Joint Probability Mass Function (PMF) Drill 1 (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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