The Fisher Information: Two Formulations

Описание к видео The Fisher Information: Two Formulations

We discuss the Fisher Information of a random variable that has a distribution which depends on a parameter \theta. This quantity appears in both the Cramer-Rao Lower bound (   • The Cramer-Rao Inequality  ) and in the asymptotic analysis of maximum likelihood estimation. We provide two equivalent formulations of this information and prove that they are equivalent.

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