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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.
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...