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In mathematical statistics and information theory, the Fisher information (sometimes simply called information) is the variance of the score. Its role in the asymptotic theory of maximum-likelihood estimation was emphasized by the statistician R.A. Fisher (following some initial results by F. Y. Edgeworth).[Bayesian statistics, the Fisher information is used in the calculation of theJeffreys prior.