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'''[[ECE662Selecture_zhenpengMLE|Expected Value of MLE estimate over standard deviation and expected deviation]]'''  
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'''[[pca_khalid|What is PCA? and Why isn't it good for Dimensionality Reduction?]]'''  
 
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A [https://www.projectrhea.org/learning/slectures.php slecture] by Zhenpeng Zhao
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A [https://www.projectrhea.org/learning/slectures.php slecture] by Khalid Tahboub
  
 
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=Questions and Comments=
 
=Questions and Comments=
 
If any one have already reserved this selecture for a review please send me an email @ s-fang@purdue.edu
 
 
Reviewing by Shaobo Fang (to be continued):
 
 
 
 
Comments:
 
First of all, the format needs some work. I have noticed the page number between the lines.
 
 
Summary:The author investigated briefly over the expected value of MLE estimate based on standard deviation and expected deviation. The case of maximum likelihood estimation examples for Gaussian R.V. both mu and sigma unknown was investigated and is truely interesting since in real world even if the data come in with Gaussian distribution the parameter is probably still unknown. Biasness of an estimator was also briefly investigaed at the very end. 
 
 
Good:
 
The mathmatical derivation is clear and thourough.
 
 
Could have been improved:
 
It would be better for the reader if more context would be there to provide better transition regarding different parts.
 
 
 
  
  

Revision as of 21:10, 7 May 2014

Questions and Comments for: What is PCA? and Why isn't it good for Dimensionality Reduction?

A slecture by Khalid Tahboub


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