Fisher information (under construction)

This concept has the prerequisites:

• expectation and variance (The Fisher information can be defined as the variance of a function.)
• maximum likelihood (The Fisher information is defined in terms of the likelihood function and used to analyze the accuracy of maximum likelihood.)
• Taylor approximations (Fisher information can be viewed as the curvature of the likelihood function around the optimum.)