# maximum likelihood: multivariate Gaussians (under construction)

## Summary

-No Summary-

## Notes

This concept is still under construction.

## Context

This concept has the prerequisites:

- maximum likelihood
- multivariate Gaussian distribution
- optimization problems (Finding the optimal solution requires solving an optimization problem.)

## See also

- Bayesian parameter estimation for multivariate Gaussians
- When there's not enough data to estimate a full covariance matrix, here are some related models with more structure: