Cover image of Probabilistic Systems Analysis and Applied Probability

Probabilistic Systems Analysis and Applied Probability

Probabilistic Systems Analysis and Applied Probability

Ranked #1

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Lecture 1: Probability Models and Axioms

Lecture 1: Probability Models and Axioms

In this lecture, the professor discussed probability as a mathematical framework, probabilistic models, axioms of probab... Read more

29 Jun 2015

51mins

Ranked #2

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Lecture 9: Multiple Continuous Random Variables

Lecture 9: Multiple Continuous Random Variables

In this lecture, the professor discussed multiple random variables: conditioning and independence.

29 Jun 2015

50mins

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Lecture 2: Conditioning and Bayes' Rule

Lecture 2: Conditioning and Bayes' Rule

In this lecture, the professor discussed conditional probability, multiplication rule, total probability theorem, and Ba... Read more

29 Jun 2015

51mins

Ranked #4

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Lecture 16: Markov Chains I

Lecture 16: Markov Chains I

In this lecture, the professor discussed Markov process definition, n-step transition probabilities, and classification ... Read more

29 Jun 2015

52mins

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Lecture 11: Derived Distributions (ctd

Lecture 11: Derived Distributions (ctd

In this lecture, the professor discussed derived distributions, convolution, covariance and correlation.

29 Jun 2015

51mins

Ranked #6

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Lecture 4: Counting

Lecture 4: Counting

In this lecture, the professor discussed principles of counting, permutations, combinations, partitions, and binomial pr... Read more

29 Jun 2015

51mins

Ranked #7

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Lecture 15: Poisson Process II

Lecture 15: Poisson Process II

In this lecture, the professor discussed Poisson process, merging, splitting, and random incidence.

29 Jun 2015

49mins

Ranked #8

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Lecture 8: Continuous Random Variables

Lecture 8: Continuous Random Variables

In this lecture, the professor discussed probability density functions, cumulative distribution functions, and normal ra... Read more

29 Jun 2015

50mins

Ranked #9

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Lecture 13: Bernoulli Process

Lecture 13: Bernoulli Process

In this lecture, the professor discussed Bernoulli process, random processes, basic properties of Bernoulli process, dis... Read more

29 Jun 2015

50mins

Ranked #10

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Lecture 7: Discrete Random Variables III

Lecture 7: Discrete Random Variables III

In this lecture, the professor discussed multiple random variables, expectations, and binomial distribution.

29 Jun 2015

50mins

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