Lecture 21: Bayesian Statistical Inference - I

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• Unit I: Probability Models And Discrete Random Variables

  • Lecture 1
  • Lecture 2
  • Lecture 3
  • Lecture 4
  • Lecture 5
  • Lecture 6
  • Lecture 7
  • Quiz 1
• Unit II: General Random Variables

  • Lecture 8
  • Lecture 9
  • Lecture 10
  • Lecture 11
  • Lecture 12
  • Quiz 2
• Unit III: Random Processes

  • Lecture 13
  • Lecture 14
  • Lecture 15
  • Lecture 16
  • Lecture 17
  • Lecture 18
• Unit IV: Laws Of Large Numbers And Inference

  • Lecture 19
  • Lecture 20
  • Lecture 21
  • Lecture 22
  • Lecture 23
  • Lecture 24
  • Lecture 25
• Final Exam
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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: Bayesian Statistical Inference - I Video

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  Lecture 21 Video

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  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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