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中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH3 Semiparametric Partially Linear Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model。
Profiled Forward Regression for Ultrahigh Dimensional Variable Screening in Semiparametric Partially Linear Models
Forward Regression Partially Linear Model Profiled Forward Regres- 9 sion Screening Consistency
2016/1/19
Profiled Forward Regression for Ultrahigh Dimensional Variable Screening in Semiparametric Partially Linear Models.
An Adaptive Semiparametric Estimation for Partially Linear Models
Partially linear model adaptability adjustment
2011/11/11
In this paper, we propose an adaptive semiparametric estimation for the nonparametric component of partially linear models. The new estimator is better than the usual nonparametric method in the sense...
Estimating and forecasting partially linear models with non stationary exogeneous variables
-mixing additive models backtting electricity consumption forecasting interval semipara-metric regression smoothing
2011/3/24
This paper presents a backfitting-type method for estimating and forecasting a periodically correlated partially linear model with exogeneous variables and heteroskedastic input noise. A rate of conve...
Estimating and forecasting partially linear models with non stationary exogeneous variables
-mixing additive models backfitting electricity consumption forecasting interval semipara-metric regression smoothing
2011/3/23
This paper presents a backfitting-type method for estimating and forecasting a periodically correlated partially linear model with exogeneous variables and heteroskedastic input noise. A rate of conve...
Partially linear models on Riemannian manifolds
Nonparametric estimation Partly linear models Riemannian manifolds
2010/3/11
In partially linear models the dependence of the response y on (xt, t) is modeled through the relationship
y = xt +g(t)+" where " is independent of (xt, t). In this paper, estimators of g are constr...
SCAD-penalized regression in high-dimensional partially linear models
Asymptotic normality high-dimensional data oracle property penalized estimation semiparametric models variable selection
2010/3/19
We consider the problem of simultaneous variable selection and
estimation in partially linear models with a divergent number of covariates
in the linear part, under the assumption that the vector of...
Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
Ancillary variables de-noise linear model errors-in-variable profile least-square-based estimator rational expection model
2010/3/18
We study semiparametric varying-coefficient partially linear models
when some linear covariates are not observed, but ancillary variables
are available. Semiparametric profile least-square based est...
Delete-group Jackknife Estimate in Partially Linear Regression Models with Heteroscedasticity
partially linear regression model asymptotic variance
2007/12/10
Consider a partially linear regression model with an unknown vector parameter β, an unknown function g(·), and unknown heteroscedastic error variances. Chen, You~([23]) proposed a semiparametric gener...