Principal single-index varying-coefficient models for dimension reduction in quantile regression
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Publication:5107741
DOI10.1080/00949655.2019.1707831OpenAlexW2997638400WikidataQ126424949 ScholiaQ126424949MaRDI QIDQ5107741
Fode Zhang, Weihua Zhao, Rui Li, Heng Lian
Publication date: 28 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2019.1707831
Related Items (2)
High-dimensional local polynomial regression with variable selection and dimension reduction ⋮ Single index Fréchet regression
Cites Work
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- Reduced rank regression via adaptive nuclear norm penalization
- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Empirical likelihood for single-index varying-coefficient models
- Optimal selection of reduced rank estimators of high-dimensional matrices
- Estimation and variable selection for generalized additive partial linear models
- Quantile index coefficient model with variable selection
- Semiparametric quantile regression estimation in dynamic models with partially varying coefficients
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Quantile regression with varying coefficients
- Quantile regression in partially linear varying coefficient models
- Hedonic housing prices and the demand for clean air
- Statistical estimation in varying coefficient models
- A principal varying-coefficient model for quantile regression: joint variable selection and dimension reduction
- Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
- GEE analysis for longitudinal single-index quantile regression
- Variable selection and estimation in high-dimensional varying-coefficient models
- Efficient estimation for semivarying-coefficient models
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- Asymptotic Theory of Overparameterized Structural Models
- Regression Quantiles
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Penalized Spline Estimation for Partially Linear Single-Index Models
- On Single-Index Coefficient Regression Models
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Adaptive Varying-Coefficient Linear Models
- Functional-Coefficient Autoregressive Models
- Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
- On a Principal Varying Coefficient Model
- Shrinkage Estimation of the Varying Coefficient Model
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models
- Reduced Rank Stochastic Regression with a Sparse Singular value Decomposition
- Nonparametric Estimation of an Additive Quantile Regression Model
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
- Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
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