6.041/6.431 22.Bayesian Statistical Inference - II

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Description
In this lecture notes we are going to continue with Bayesian Statistical Inference - II. Topics covered in this section are (Bayesian) Least Means Squares (LMS) Estimation, Conditional mean squared error,some properties of LMS estimation,Linear LMS, Linear LMS properties and the cleanest LMS example.

Instructors: Prof.Dimitri Bertsekas, Prof. John Tsitsiklis, MIT Course Number: 6.041 / 6.431 Level: Undergraduate / Graduate , 6.041 / 6.431 22.Bayesian statistical inference - II, Probabilistic Systems Analysis and Applied Probability, Electrical Engineering and Computer Science, Engineering, Massachusetts Institute of Technology: MIT Open Course Ware, http://ocw.mit.edu (11-11-2011). License: Creative Commons BY-NC-SA: http://ocw.mit.edu/terms/#cc.


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