Fisher information (under construction)
Summary
-No Summary-
Notes
This concept is still under construction.
Context
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.)
See also
- The Fisher information matrix is the multivariate generalization.