3 papers
stat.ME2026
Sparse Variable Sharpening in High-Dimensional Kernel Density Estimation
Kiheiji Nishida
High-dimensional kernel density estimation suffers from the curse of dimensionality. This study proposes a hybrid density estimator defined as the product of a joint density over a…
stat.ME2022
Kernel Density Estimation by Genetic Algorithm
Kiheiji Nishida
This study proposes a data condensation method for multivariate kernel density estimation by genetic algorithm. First, our proposed algorithm generates multiple subsamples of a giv…
stat.ML2021
Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary
Kiheiji Nishida, Kanta Naito
This study proposes multivariate kernel density estimation by stagewise minimization algorithm based on -divergence and a simple dictionary. The dictionary consists of an approp…