Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Create a tool to measure non-Gaussianity of a KDE #29

Open
OmriTreidel opened this issue Nov 6, 2016 · 0 comments
Open

Create a tool to measure non-Gaussianity of a KDE #29

OmriTreidel opened this issue Nov 6, 2016 · 0 comments

Comments

@OmriTreidel
Copy link
Collaborator

It would eb handy to have a utility to measure the non-gaussianity of an empirical distribution.

This can be done by estimating the mean and variance of the empirical distribution and use the Kullback–Leibler divergence

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant