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==Part 2: Properties of MLE==
 
==Part 2: Properties of MLE==
 
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==Part 3: Examples of MLE (Analytically tractable cases)==
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==Part 3: Examples of MLE (Analytically Tractable Cases)==
 
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==Part 4: Summary of MLE and Numerical Optimization options==
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==Part 4: Summary of MLE and Numerical Optimization Options==
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==References==
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*Mireille Boutin, "ECE662: Statistical Pattern Recognition and Decision Making Processes," Purdue University, Spring 2014.
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*R. O. Duda, P. E. Hart, and D. G. Stork, Pattern classification, Wiley New York, 2nd Edition, 2000.
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*Myung, In Jae. "Tutorial on Maximum Likelihood Estimation." Journal of Mathematical Psychology 47.1 (2003): 90-100. Print.
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*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.
 
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Revision as of 14:57, 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.


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