The videos in Part II describe the laws of large numbers and introduce the main tools of Bayesian inference methods.
The textbook for this subject is Bertsekas, Dimitri, and John Tsitsiklis. Introduction to Probability. 2nd ed. Athena Scientific, 2008. ISBN: 9781886529236.
The authors have made this Selected Summary Material (PDF) available for OCW users.
L = Lecture Content
S = Supplemental Content
SES # & TOPICS | SLIDES |
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Lecture 14: Introduction to Bayesian Inference | |
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Lecture 15: Linear Models With Normal Noise | |
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Lecture 16: Least Mean Squares (LMS) Estimation | |
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Lecture 17: Linear Least Mean Squares (LLMS) Estimation | |
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Lecture 18: Inequalities, Convergence, and the Weak Law of Large Numbers | |
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Lecture 19: The Central Limit Theorem (CLT) | |
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Lecture 20: An Introduction to Classical Statistics | |
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