Probabilistic Systems Analysis and Applied Probability

Lecture 21: Bayesian Statistical Inference - I

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Lecture Topics

Inference applications Classical versus Bayesian satistics Maximum a posteriori probability estimation (Bayesian) Least mean squares estimation

Lecture Activities

• Watch the Lecture 21 Video by Prof. Tsitsiklis (00:48:50)
• Review the Lecture 21: Bayesian Statistical Inference - I Slides (PDF)
• Read Sections 8.1–8.2 in the textbook

Note: There are no recitations or tutorials associated with this lecture.

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