Transcription of Chapter 2: Maximum Likelihood Estimation - Accueil
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Chapter 2: Maximum Likelihood EstimationAdvanced econometrics - HEC LausanneChristophe HurlinUniversity of Orl ansDecember 9, 2013 Christophe Hurlin (University of Orl ans) advanced econometrics - HEC LausanneDecember 9, 20131 / 207 Section 1 IntroductionChristophe Hurlin (University of Orl ans) advanced econometrics - HEC LausanneDecember 9, 20132 / 2071. IntroductionThe Maximum Likelihood Estimation (MLE) is a method ofestimating the parameters of a model. This Estimation method is oneof the most widely method of Maximum Likelihood selects the set of values of themodel parameters that maximizes the Likelihood function.
Chapter 2: Maximum Likelihood Estimation Advanced Econometrics - HEC Lausanne Christophe Hurlin University of OrlØans December 9, 2013 Christophe Hurlin (University of OrlØans) Advanced Econometrics - HEC Lausanne December 9, 2013 1 / 207
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