5 citations · 8 across the 4 of their papers we have counts for
4 papers · 1 filter
Nonparametric smoothing for extremal quantile regression with heavy tailed distributions
Takuma Yoshida
In several different fields, there is interest in analyzing the upper or lower tail quantile of the underlying distribution rather than mean or center quantile. However, the invest…
Asymptotics for penalized spline estimators in quantile regression
Takuma Yoshida
Quantile regression predicts the -quantile of the conditional distribution of a response variable given the explanatory variable for . The aim of this paper is to est…
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…
Asymptotics for penalized additive B-spline regression
T. Yoshida, K. Naito
This paper is concerned with asymptotic theory for penalized spline estimator in bivariate additive model. The focus of this paper is put upon the penalized spline estimator obtain…