Line 19: Line 19:
 
==Part 2: Properties of MLE==
 
==Part 2: Properties of MLE==
 
----
 
----
==Part 3: Examples of MLE (Analytically tractable cases)==
+
==Part 3: Examples of MLE (Analytically Tractable Cases)==
 
----
 
----
==Part 4: Summary of MLE and Numerical Optimization options==
+
==Part 4: Summary of MLE and Numerical Optimization Options==
 +
----
 +
==References==
 +
*Mireille Boutin, "ECE662: Statistical Pattern Recognition and Decision Making Processes," Purdue University, Spring 2014.
 +
*R. O. Duda, P. E. Hart, and D. G. Stork, Pattern classification, Wiley New York, 2nd Edition, 2000.
 +
*Myung, In Jae. "Tutorial on Maximum Likelihood Estimation." Journal of Mathematical Psychology 47.1 (2003): 90-100. Print.
 +
*Panchenko, Dmitry. "[http://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-fall-2006/lecture-notes/lecture3.pdf Lecture 3: Properties of MLE: consistency, asymptotic normality. Fisher information]," "18-443: Statistics for Applications,"  MIT, Fall 2006.
 
----
 
----
 
----
 
----

Revision as of 15:57, 29 April 2014


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.



Part 1: Basic Setup


Part 2: Properties of MLE


Part 3: Examples of MLE (Analytically Tractable Cases)


Part 4: Summary of MLE and Numerical Optimization Options


References

  • Mireille Boutin, "ECE662: Statistical Pattern Recognition and Decision Making Processes," Purdue University, Spring 2014.
  • R. O. Duda, P. E. Hart, and D. G. Stork, Pattern classification, Wiley New York, 2nd Edition, 2000.
  • Myung, In Jae. "Tutorial on Maximum Likelihood Estimation." Journal of Mathematical Psychology 47.1 (2003): 90-100. Print.
  • Panchenko, Dmitry. "Lecture 3: Properties of MLE: consistency, asymptotic normality. Fisher information," "18-443: Statistics for Applications," MIT, Fall 2006.


Comments/Feedback

  • Write comment here.
    • reply here.
  • Write another comment here.

Back to ECE662, Spring 2014

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett