Kernel Density Estimation · The blue line · The KDE is calculated by weighting the distances of all the data points we've seen for each location on the blue line ... ... <看更多>

Kernel density estimation (KDE) is in some senses an algorithm which takes the mixture-of-Gaussians idea to its logical extreme: it uses a mixture ... ... <看更多>

Kernel density estimators for Julia. Contribute to JuliaStats/KernelDensity.jl development by creating an account on GitHub. ... <看更多>

If you were given that your sample is following some distribution and you know the parameters and PDF equation then you can plot them with ... ... <看更多>