A distribution-based Lasso for a general single-index model
From MaRDI portal
Publication:2018911
DOI10.1007/s11425-014-4891-2zbMath1308.62043OpenAlexW2028833012MaRDI QIDQ2018911
Publication date: 26 March 2015
Published in: Science China. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-014-4891-2
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)
Related Items (12)
Dimension reduction via adaptive slicing ⋮ Asymtotics of Dantzig selector for a general single-index model ⋮ Estimation of the error distribution function for partial linear single-index models ⋮ Robust inference for high‐dimensional single index models ⋮ Partial linear single-index models with additive distortion measurement errors ⋮ Exploring the constant coefficient of a single-index variation ⋮ Trace pursuit variable selection for multi-population data ⋮ Local Walsh-average-based estimation and variable selection for single-index models ⋮ Estimation and hypothesis test for single-index multiplicative models ⋮ Single-index modal regression via outer product gradients ⋮ Dimension reduction regressions with measurement errors subject to additive distortion ⋮ Unnamed Item
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Efficient estimation in sufficient dimension reduction
- Sure independence screening in generalized linear models with NP-dimensionality
- Regularization for Cox's proportional hazards model with NP-dimensionality
- Coordinate-independent sparse sufficient dimension reduction and variable selection
- Variable selection in a class of single-index models
- On almost linearity of low dimensional projections from high dimensional data
- Nonconcave penalized inverse regression in single-index models with high dimensional predic\-tors
- A nonlinear multi-dimensional variable selection method for high dimensional data: sparse MAVE
- Estimation of the mean of a multivariate normal distribution
- Regression analysis under link violation
- Nonconcave penalized likelihood with a diverging number of parameters.
- Least angle regression. (With discussion)
- Optimal smoothing in single-index models
- Pathwise coordinate optimization
- Nonparametric checks for single-index models
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- On Distribution-Weighted Partial Least Squares with Diverging Number of Highly Correlated Predictors
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- Extended Bayesian information criteria for model selection with large model spaces
- A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
- Shrinkage Inverse Regression Estimation for Model-Free Variable Selection
- Sliced Inverse Regression for Dimension Reduction
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Penalized Composite Quasi-Likelihood for Ultrahigh Dimensional Variable Selection
- Penalized minimum average variance estimation
- Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
- Regularization and Variable Selection Via the Elastic Net
- A note on shrinkage sliced inverse regression
- Sparse sufficient dimension reduction
- Sufficient Dimension Reduction via Inverse Regression
This page was built for publication: A distribution-based Lasso for a general single-index model