Consider a nonlinear partial spline model . This article studies the estimation problem of when g0 is approximated by some graduating function. Some asymptotic results for are derived. In particular, it is shown that can be estimated with the usual parametric convergence rate without undersmoothing g0.Additive models Method of sieves Semiparametric regression models Nonlinear regression
Semiparametric additive regression model is a combination of parametric and nonparametric regression...
We study generalized additive partial linear models, proposing the use of polynomial spline smoothin...
In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correl...
AbstractConsider a nonlinear partial spline model Y=f(β0,X)+g0(T)+ϵ. This article studies the estima...
AbstractConsider a nonlinear partial spline model Y=f(β0,X)+g0(T)+ϵ. This article studies the estima...
A multivariate partially linear model is considered in this paper. The B-spline least squares estima...
AbstractWe study a spline-based likelihood method for the partly linear model with monotonicity cons...
In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a...
2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Summary. Motivated by an analysis of a real data set in ecology, we consider a class of partially no...
We consider the efficient estimation of the semiparametric additive transformation model with curren...
Abstract: A flexible nonparametric regression model is considered in which the response de-pends lin...
Penalized spline estimators have received considerable attention in recent years because of their go...
A useful model for data analysis is the partially nonlinear model where response variable is represe...
Additive Spline of Partial Least Square method (ASPL) as one generalization of Partial Least Square ...
Semiparametric additive regression model is a combination of parametric and nonparametric regression...
We study generalized additive partial linear models, proposing the use of polynomial spline smoothin...
In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correl...
AbstractConsider a nonlinear partial spline model Y=f(β0,X)+g0(T)+ϵ. This article studies the estima...
AbstractConsider a nonlinear partial spline model Y=f(β0,X)+g0(T)+ϵ. This article studies the estima...
A multivariate partially linear model is considered in this paper. The B-spline least squares estima...
AbstractWe study a spline-based likelihood method for the partly linear model with monotonicity cons...
In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a...
2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Summary. Motivated by an analysis of a real data set in ecology, we consider a class of partially no...
We consider the efficient estimation of the semiparametric additive transformation model with curren...
Abstract: A flexible nonparametric regression model is considered in which the response de-pends lin...
Penalized spline estimators have received considerable attention in recent years because of their go...
A useful model for data analysis is the partially nonlinear model where response variable is represe...
Additive Spline of Partial Least Square method (ASPL) as one generalization of Partial Least Square ...
Semiparametric additive regression model is a combination of parametric and nonparametric regression...
We study generalized additive partial linear models, proposing the use of polynomial spline smoothin...
In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correl...