Cover image of Probabilistic Systems Analysis and Applied Probability

Probabilistic Systems Analysis and Applied Probability

Probabilistic Systems Analysis and Applied Probability

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Lecture 24: Classical Inference II

Lecture 24: Classical Inference II

In this lecture, the professor discussed classical inference, Linear regression, and binary hypothesis testing.

29 Jun 2015

51mins

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Lecture 22: Bayesian Statistical Inference II

Lecture 22: Bayesian Statistical Inference II

In this lecture, the professor discussed Bayesian statistical inference, least means squares, and linear LMS estimation.

29 Jun 2015

52mins

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Lecture 23: Classical Statistical Inference I

Lecture 23: Classical Statistical Inference I

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Lecture 21: Bayesian Statistical Inference I

Lecture 21: Bayesian Statistical Inference I

In this lecture, the professor discussed Bayesian statistical inference and inference models.

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Lecture 25: Classical Inference III

Lecture 25: Classical Inference III

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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

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Lecture 17: Markov Chains II

Lecture 17: Markov Chains II

In this lecture, the professor discussed Markov process, steady-state behavior, and birth-death processes.

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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.

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Lecture 18: Markov Chains III

Lecture 18: Markov Chains III

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Lecture 20: Central Limit Theorem

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