Course Information

Name:	Massachusetts Institute of Technology (MIT)
Type:	University

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Name

John Tsitsiklis

Probabilistic Systems Analysis and Applied Probability

Video Lectures

Displaying all 25 video lectures.

Lecture 1 Play Video	Probability Models and Axioms
Lecture 2 Play Video	Conditioning and Bayes' Rule
Lecture 3 Play Video	Independence
Lecture 4 Play Video	Counting
Lecture 5 Play Video	Discrete Random Variables I
Lecture 6 Play Video	Discrete Random Variables II
Lecture 7 Play Video	Discrete Random Variables III
Lecture 8 Play Video	Continuous Random Variables
Lecture 9 Play Video	Multiple Continuous Random Variables
Lecture 10 Play Video	Continuous Bayes' Rule; Derived Distributions
Lecture 11 Play Video	Derived Distributions (ctd.); Covariance
Lecture 12 Play Video	Iterated Expectations
Lecture 13 Play Video	Bernoulli Process
Lecture 14 Play Video	Poisson Process I
Lecture 15 Play Video	Poisson Process II
Lecture 16 Play Video	Markov Chains I
Lecture 17 Play Video	Markov Chains II
Lecture 18 Play Video	Markov Chains III
Lecture 19 Play Video	Weak Law of Large Numbers
Lecture 20 Play Video	Central Limit Theorem
Lecture 21 Play Video	Bayesian Statistical Inference I
Lecture 22 Play Video	Bayesian Statistical Inference II
Lecture 23 Play Video	Classical Statistical Inference I
Lecture 24 Play Video	Classical Inference II
Lecture 25 Play Video	Classical Inference III In this lecture, the professor discussed classical inference, simple binary hypothesis testing, and composite hypotheses testing.