Maximum Likelihood, MSE, Fisher Information, Cramér-Rao Bound
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Description
This lecture covers topics such as maximum likelihood estimation, mean squared error, Fisher information, and the Cramér-Rao bound. It explains how to calculate these metrics and their significance in statistical inference.
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This is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternat
