nonparametric regression modelsoptimal bandwidth parameterspartially linear modelsridge estimation problemstandard linear modelsThis chapter studies the problem of ridge estimation in the context of partially linear models (PLMs). In a nutshell, PLMs are smoothed models that include both parametric and ...
Partially linear regressionPrimary 62F12Secondary 62F25, 62G05Motivated by covariate-adjusted regression (CAR) proposed by Sentrk and Mller (2005) and an application problem, in this article we introduce and investigate a covariate-adjusted partially linear regression model (CAPLM), in which both ...
Partially linear modelS-estimatorrobustnesspenalized regression spline62G0562G35In this paper, a robust estimator is proposed for partially linear regression models. We first estimate the nonparametric component using the penalized regression spline, then we construct an estimator of parametric component ...
Functional linear modelsGlobal convergence ratePolynomial splineUniform convergence rateVarying coefficient modelBy relaxing the linearity assumption in partial functional linear regression models, we propose a varying coefficient partially functional linear regression model (VCPFLM), which includes varying ...
In this article, we consider quantile regression method for partially linear varying coefficient models for semiparametric time series modeling. We propose estimation methods based on general series estimation. We establish convergence rates of the estimator and the root-n asymptotic normality of the fini...
Functional linear regression (FLR) with scalar response (scalar-on-function linear regression) is one of the most basic regression models among all functional regressions, which has been extensively studied in the literature (Cardot et al., 1999, Cai and Hall, 2006, Hall and Horowitz, 2007, ...
We consider the approximately linear regression model E[y|x] = z T (x)θ + (x), x∈ S ja:math , where (x) ja:math is a non-linear disturbance restricted o... DP Wiens - 《Journal of Statistical Planning & Inference》 被引量: 213发表: 1992年 New models for old questions: gene...
This paper considers a varying coefcient partially linear regression with spatial data.The parametric estimators of the model are obtained through piecewise local polynomial approximation of the nonparametric coefcient functions.The local estimators of unknown coefcient functions are obtained by replacing the...
1) partially linear regression model 部分线性回归模型1. Aim at the estimation of a partially linear regression model with errors in covariables,by using the empirical likelihood method,the proposed maximum empirical likelihood estimators of unknown parameters are proved to be asymptotically normal under...
Functional linear regression modelIn this paper, we propose a flexible single-index partially functional linear regression model, which combines single-index model with functional linear regression model. All the unknown functions...doi:10.1007/s00362-018-0980-6Ping Yu...