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Questions and Comments

[Review by Hariharan Seshadri]:

• This is a very well developed slecture on Bayesian Parametric Estimation (BPE)

[Review by Hariharan Seshadri]:

• What I like about this slecture is that the author is organized in his/her thoughts. The author starts of by giving a general introduction to Bayesian Parametric Distribution, and goes on to derive the "posteriori" parameters of the MEAN of a univariate Gaussian Distribution

[Review by Hariharan Seshadri]:

• Having obtained these "posteriori" parameters of the MEAN, the author goes on to derive the conditional probability of p(x|D) using the afore-mentioned parameters

[Review by Hariharan Seshadri]:

• The author is methodical in the derivation

[Review by Hariharan Seshadri]:

• To make this great slecture even better, the author could compare the accuracy of BPE and MLE in a classification context (just like HW 2 - Spring 2014). In short, it was a very informative slecture

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