Hi, Does anyone know how can I train an arbitrary density distribution from training data using a non-parametric method, like a Kernel Density Estimator?. I see that the former "Goose" library has this feature:
- Kernel density estimation using Epanechnikov, Biweight, Triweight, Gaussian and Uniform kernels. However, I don't see anything like that in the GSL documentation. I wonder if this algorithm is still in the library, and in that case, where can I find information about how to use it? Thanks! _______________________________________________ Help-gsl mailing list Help-gsl@gnu.org http://lists.gnu.org/mailman/listinfo/help-gsl
