(One intermediate revision by the same user not shown)
Line 17: Line 17:
  
 
==Review==
 
==Review==
Put your review here . . .
+
This is reviewed by Joonsoo Kim.
 +
 
 +
It is good lecture to understand What MLE is. It explain how to get a solution of MLE well and what the pros and cons for are for using MLE. It shows several examples to solve MLE for simple distributions. Last, it shows what numerical optimizations of MLE are widely used.
 +
  
This is reviewed by Joonsoo Kim
 
 
----
 
----
 
----
 
----
 
==Comments/Feedback==
 
==Comments/Feedback==
*Write your comment here.
+
When it explain about the pros and cons of MLE, it might be better to give an example of another famous estimator and compare MLE and that estimator. Then, we can more easily understand the properties of MLE. And I wish that the numerical optimization of MLE should have been explained in detail.
 
----
 
----
 
[[ SlectureKeehwanECE662Spring14|Back to SlectureKeehwanECE662Spring14]]
 
[[ SlectureKeehwanECE662Spring14|Back to SlectureKeehwanECE662Spring14]]

Latest revision as of 11:36, 2 May 2014


Review on Maximum Likelihood Estimation (MLE): its properties and examples

A slecture by graduate student Keehwan Park

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



Review

This is reviewed by Joonsoo Kim.

It is good lecture to understand What MLE is. It explain how to get a solution of MLE well and what the pros and cons for are for using MLE. It shows several examples to solve MLE for simple distributions. Last, it shows what numerical optimizations of MLE are widely used.




Comments/Feedback

When it explain about the pros and cons of MLE, it might be better to give an example of another famous estimator and compare MLE and that estimator. Then, we can more easily understand the properties of MLE. And I wish that the numerical optimization of MLE should have been explained in detail.


Back to SlectureKeehwanECE662Spring14

Alumni Liaison

To all math majors: "Mathematics is a wonderfully rich subject."

Dr. Paul Garrett