Lecture

Maximum Likelihood Estimation: Properties and Applications

Description

This lecture covers the properties of Maximum Likelihood Estimators (MLEs), including convergence, invariance, unbiasedness, efficiency, and normality. It also discusses regularity conditions required for asymptotic normality and the challenges associated with MLEs in practice.

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