Pages that link to "Item:Q5894304"

The following pages link to Estimation and variable selection for semiparametric additive partial linear models (Q5894304):

Displaying 50 items.

• Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines (Q99547) (← links)
• A robust penalized estimation for identification in semiparametric additive models (Q273751) (← links)
• Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data (Q311324) (← links)
• Variable selection for additive partial linear quantile regression with missing covariates (Q321935) (← links)
• Estimation and inference for additive partially nonlinear models (Q334824) (← links)
• Shrinkage estimation for identification of linear components in additive models (Q419212) (← links)
• Profiled adaptive elastic-net procedure for partially linear models with high-dimensional covar\-i\-ates (Q419271) (← links)
• Semiparametric regression models with additive nonparametric components and high dimensional parametric components (Q435000) (← links)
• Robust estimation and variable selection in censored partially linear additive models (Q508109) (← links)
• Variance function additive partial linear models (Q902215) (← links)
• Monotone splines Lasso (Q1623607) (← links)
• Estimation and hypothesis test on partial linear models with additive distortion measurement errors (Q1654265) (← links)
• Additive partially linear models for massive heterogeneous data (Q1722060) (← links)
• Improving the prediction performance of the Lasso by subtracting the additive structural noises (Q1729359) (← links)
• Nonconvex penalized ridge estimations for partially linear additive models in ultrahigh dimension (Q1731372) (← links)
• Statistical inference on partial linear additive models with distortion measurement errors (Q1731408) (← links)
• Linearity identification for general partial linear single-index models (Q1793004) (← links)
• An RKHS-based approach to double-penalized regression in high-dimensional partially linear models (Q1795582) (← links)
• Variable selection in high-dimensional partially linear additive models for composite quantile regression (Q1800107) (← links)
• Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data (Q1940758) (← links)
• Nonlinear measurement errors models subject to partial linear additive distortion (Q1994028) (← links)
• Additive monotone regression in high and lower dimensions (Q2002524) (← links)
• Rank-based shrinkage estimation for identification in semiparametric additive models (Q2010793) (← links)
• Two-stage estimation and simultaneous confidence band in partially nonlinear additive model (Q2051519) (← links)
• Model averaging marginal regression for high dimensional conditional quantile prediction (Q2062406) (← links)
• \(I_L\)-optimal designs for regression models under the second-order least squares estimator (Q2075038) (← links)
• Biclustering analysis of functionals via penalized fusion (Q2078535) (← links)
• A robust spline approach in partially linear additive models (Q2101391) (← links)
• Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
• Sparse model identification and learning for ultra-high-dimensional additive partially linear models (Q2274941) (← links)
• Profile statistical inference for partially linear additive models with a diverging number of parameters (Q2287379) (← links)
• Estimation of a partially linear additive model with generated covariates (Q2306249) (← links)
• Testing serial correlation in partially linear additive models (Q2316305) (← links)
• Variable selection in functional additive regression models (Q2418050) (← links)
• Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data (Q2419161) (← links)
• Using thresholding difference-based estimators for variable selection in partial linear models (Q2439628) (← links)
• Weighted composite quantile regression estimation and variable selection for varying coefficient models with heteroscedasticity (Q2513792) (← links)
• SCAD-penalized regression in additive partially linear proportional hazards models with an ultra-high-dimensional linear part (Q2637602) (← links)
• Variable Selection for Semiparametric Partially Linear Covariate-Adjusted Regression Models (Q2792277) (← links)
• Partially linear structure selection in Cox models with varying coefficients (Q2846441) (← links)
• Identification of partially linear structure in additive models with an application to gene expression prediction from sequences (Q2912335) (← links)
• Partially linear estimation using sufficient dimension reduction (Q2954221) (← links)
• (Q3307831) (← links)
• Estimation and variable selection in single-index composite quantile regression (Q4607357) (← links)
• (Q4687123) (← links)
• A sure independence screening procedure for ultra-high dimensional partially linear additive models (Q5036612) (← links)
• Variable selection of partially linear varying coefficient spatial autoregressive model (Q5036902) (← links)
• Penalized profile quasi-maximum likelihood method of partially linear spatial autoregressive model (Q5036903) (← links)
• Robust signed-rank estimation and variable selection for semi-parametric additive partial linear models (Q5037022) (← links)
• Sparse reduced-rank regression for multivariate varying-coefficient models (Q5065249) (← links)