|Mathematical Statistics For Data Science
|update and Published
Learn how to estimate statistical parameters using the method of moments and maximum likelihood
Learn how to evaluate and compare different estimators using notions such as bias, variance, and mean squared error.
Learn about the Cramer-Rao lower bound and how to know if we have found the best possible estimator
Learn to evaluate asymptotic properties of estimators, including consistency and the central limit theorem.
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