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ROC curve and Neyman Pearsom Criterion

A slecture by ECE student

Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.


 1. Outline of the slecture

  • Basic knowledge of Bayes parameter estimation
  • An example to illustrate the concept and properties of BPE
  • The effect of sample size on the posterior
  • The effect of prior on the posterior





Questions and comments

If you have any questions, comments, etc. please post them on this page.


Back to ECE662, Spring 2014

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Recent Math PhD now doing a post-doctorate at UC Riverside.

Kuei-Nuan Lin