1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Skewing Methods for Variance-Stabilizing Local Linear Regression Estimation
Kiheiji Nishida
It is well-known that kernel regression estimators do not produce a constant estimator variance over a domain. To correct this problem, Nishida and Kanazawa (2015) proposed a varia…