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

Outputs from singlesample.kentparams and inputs to distributions.kent #12

Open
iwygh opened this issue Mar 5, 2024 · 0 comments
Open

Comments

@iwygh
Copy link

iwygh commented Mar 5, 2024

The outputs from singlesample.kentparams are a 3x3 matrix axes containing the estimated axes of a sample distribution, and the estimated concentration parameter kappahat and estimated ovalness parameter betahat. The inputs to distributions.kent to simulate a Kent distribution are kappa, beta, the vector mu (the mean vector of the Kent distribution), and the vector mu0 (the mean vector of the Fisher part). I can't understand why the outputs from singlesample.kentparams wouldn't match the inputs to distributions.kent, as that unnecessarily complicates the obvious use case "estimate the Kent parameters of a sample of unit vectors, then draw from a Kent distribution using the estimated parameters." I believe that the first axis from axes is the mean vector of the Kent distribution mu, but I can't figure out how to get mu0 from axes - in fact, I don't really understand what mu0 means as "the mean vector of the Fisher part" in reference to the standard form of the Kent distribution, f(x) = 1/c(kappa, beta) * exp{kappa * gamma1_dot_x + beta *(gamma2_dot_x)^2 - beta * (gamma3_dot_x)^2}. Can you please help? Thanks.

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