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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.
 
*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.
 
*Golder, Matt, "[https://files.nyu.edu/mrg217/public/mle_introduction1.pdf Maximum Likelihood Estimation (MLE)]," Pennsylvania State University.
 
*Golder, Matt, "[https://files.nyu.edu/mrg217/public/mle_introduction1.pdf Maximum Likelihood Estimation (MLE)]," Pennsylvania State University.
 
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*Dietze, Michael, "[http://www.life.illinois.edu/dietze/Lectures2012/Lesson07_Optim.pdf Lesson 7 Intractable MLEs: Basics of Numerical Optimization]," "Statistical Modeling", University of Illinois at Urbana-Champaign.
 
*"[http://www.itl.nist.gov/div898/handbook/eda/section3/eda3652.htm 1.3.6.5.2. Maximum Likelihood.]" N.p., n.d. Web. 29 Apr. 2014.
 
*"[http://www.itl.nist.gov/div898/handbook/eda/section3/eda3652.htm 1.3.6.5.2. Maximum Likelihood.]" N.p., n.d. Web. 29 Apr. 2014.
 +
*"Maximum likelihood." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 26 April 2014. Web. 29 Apr. 2014.
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*"Cramér–Rao bound." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 28 October 2013. Web. 29 Apr. 2014.
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*"Expectation–maximization algorithm." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 3 April 2014. Web. 29 Apr. 2014.
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*C. Couvreur. The EM algorithm: A guided tour. In Proc. 2d IEEE European Workshop on Computationaly Intensive Methods in Control and Signal Processing (CMP’96), pages 115–120, Pragues, Czech Republik, August 1996.
 
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Revision as of 07:18, 30 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.
  • Golder, Matt, "Maximum Likelihood Estimation (MLE)," Pennsylvania State University.
  • Dietze, Michael, "Lesson 7 Intractable MLEs: Basics of Numerical Optimization," "Statistical Modeling", University of Illinois at Urbana-Champaign.
  • "1.3.6.5.2. Maximum Likelihood." N.p., n.d. Web. 29 Apr. 2014.
  • "Maximum likelihood." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 26 April 2014. Web. 29 Apr. 2014.
  • "Cramér–Rao bound." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 28 October 2013. Web. 29 Apr. 2014.
  • "Expectation–maximization algorithm." Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc. 3 April 2014. Web. 29 Apr. 2014.
  • C. Couvreur. The EM algorithm: A guided tour. In Proc. 2d IEEE European Workshop on Computationaly Intensive Methods in Control and Signal Processing (CMP’96), pages 115–120, Pragues, Czech Republik, August 1996.


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