Robust feature screening for elliptical copula regression model
From MaRDI portal
Publication:2274965
DOI10.1016/j.jmva.2019.05.003zbMath1431.62157arXiv1808.08551OpenAlexW2888198740MaRDI QIDQ2274965
Liang Zhang, Yong He, Jiadong Ji, Xin Sheng Zhang
Publication date: 1 October 2019
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.08551
Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (4)
Robust estimation of the number of factors for the pair-elliptical factor models ⋮ Robust factor number specification for large-dimensional elliptical factor model ⋮ Robust feature screening for multi-response trans-elliptical regression model with ultrahigh-dimensional covariates ⋮ Copula shrinkage and portfolio allocation in ultra-high dimensions
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Robust rank correlation based screening
- The meta-elliptical distributions with given marginals
- A selective overview of feature screening for ultrahigh-dimensional data
- Elliptical regression operationalized
- Variable selection in nonparametric additive models
- High-dimensional additive modeling
- High-dimensional semiparametric Gaussian copula graphical models
- ROCKET: robust confidence intervals via Kendall's tau for transelliptical graphical models
- Sure screening by ranking the canonical correlations
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Censored rank independence screening for high-dimensional survival data
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Scaled sparse linear regression
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference
- Feature Screening via Distance Correlation Learning
- Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
- Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
- Model Selection and Estimation in Regression with Grouped Variables
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data
This page was built for publication: Robust feature screening for elliptical copula regression model