We consider kernel-type methods for the estimation of a density on [0, 1] which eschew explicit boundary correction. We propose using kernels that are symmetric in their two arguments; these kernels ...

Kernel Density Estimation and Nonparametric Methods Publication Trend The graph below shows the total number of publications each year in Kernel Density Estimation and Nonparametric Methods.

Nonparametric techniques, such as kernel density estimation and wavelet methods, have become standard tools due to their flexibility in capturing complex data structures.