 Fisher information metric

The Fisher information metric is a fundamental concept in statistics and differential geometry, particularly in the context of estimating parameters in probabilistic models. It quantifies the amount of information that an observable random variable carries about an unknown parameter upon which the probability distribution of the random variable depends. The Fisher information is named after the statistician Ronald A. Fisher.