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Home » Courses » Electrical Engineering and Computer Science » Probabilistic Systems Analysis and Applied Probability » Video Lectures » Lecture 13: Bernoulli Process
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Description: In this lecture, the professor discussed Bernoulli process, random processes, basic properties of Bernoulli process, distribution of interarrival times, the time of the kth success, merging and splitting.
Instructor: John Tsitsiklis
Lecture 1: Probability Mode...
Lecture 2: Conditioning and...
Lecture 3: Independence
Lecture 4: Counting
Lecture 5: Discrete Random ...
Lecture 6: Discrete Random ...
Lecture 7: Multiple Discret...
Lecture 8: Continuous Rando...
Lecture 9: Multiple Continu...
Lecture 10: Continuous Baye...
Lecture 11: Derived Distrib...
Lecture 12: Iterated Expect...
Lecture 13: Bernoulli Process
Lecture 14: Poisson Process I
Lecture 15: Poisson Process II
Lecture 16: Markov Chains I
Lecture 17: Markov Chains II
Lecture 18: Markov Chains III
Lecture 19: Weak Law of Lar...
Lecture 20: Central Limit T...
Lecture 21: Bayesian Statis...
Lecture 22: Bayesian Statis...
Lecture 23: Classical Stati...
Lecture 24: Classical Infer...
Lecture 25: Classical Infer...
Bernoulli Process (PDF)