34 citations · 39 across the 6 of their papers we have counts for
6 papers
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…
Asymptotics and practical aspects of testing normality with kernel methods
Natsumi Makigusa, Kanta Naito
This paper is concerned with testing normality in a Hilbert space based on the maximum mean discrepancy. Specifically, we discuss the behavior of the test from two standpoints: asy…
Asymptotics for penalized splines in generalized additive models
Takuma Yoshida, Kanta Naito
This paper discusses asymptotic theory for penalized spline estimators in generalized additive models. The purpose of this paper is to establish the asymptotic bias and variance as…
Semiparametric Penalized Spline Regression
Takuma Yoshida, Kanta Naito
In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a parametric approach and a nonparametric penalized spline method. The overall sh…
Prediction of multivariate responses with a select number of principal components
Inge Koch, Kanta Naito
This paper proposes a new method and algorithm for predicting multivariate responses in a regression setting. Research into classification of High Dimension Low Sample Size (HDLSS)…
Semiparametric density estimation by local L_2-fitting
Kanta Naito
This article examines density estimation by combining a parametric approach with a nonparametric factor. The plug-in parametric estimator is seen as a crude estimator of the true d…