# 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.