Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity
From MaRDI portal
Publication:2122800
DOI10.1007/s00362-021-01227-2OpenAlexW3136562446MaRDI QIDQ2122800
Yi Zhang, Guan'ao Yan, Jun Zhao
Publication date: 7 April 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.09302
Related Items (4)
Point forecasting and forecast evaluation with generalized Huber loss ⋮ An improved algorithm for high-dimensional continuous threshold expectile model with variance heterogeneity ⋮ Data-driven and distribution-free estimation of tailed-related risks for GARCH models using composite asymmetric least squares regression ⋮ Expectile trace regression via low-rank and group sparsity regularization
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Nearly unbiased variable selection under minimax concave penalty
- Asymmetric Least Squares Estimation and Testing
- Geoadditive expectile regression
- High-dimensional generalizations of asymmetric least squares regression and their applications
- Fast global convergence of gradient methods for high-dimensional statistical recovery
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
- One-step sparse estimates in nonconcave penalized likelihood models
- Robust regression based on infinitesimal neighbourhoods
- Expectile regression for analyzing heteroscedasticity in high dimension
- Robust and sparse estimators for linear regression models
- Nonlinear expectile regression with application to value-at-risk and expected shortfall estimation
- Robust variable selection in high-dimensional varying coefficient models based on weighted composite quantile regression
- Strong oracle optimality of folded concave penalized estimation
- Quantiles, expectiles and splines
- COHERENCE AND ELICITABILITY
- Graph Implementations for Nonsmooth Convex Programs
- Minimax Aspects of Bounded-Influence Regression
- On the Estimation of Production Frontiers: Maximum Likelihood Estimation of the Parameters of a Discontinuous Density Function
- Asymmetric least squares regression estimation: A nonparametric approach∗
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Robust Statistics
- Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension
- Expectile and quantile regression—David and Goliath?
- A New Principle for Tuning-Free Huber Regression
- Estimation of High Dimensional Mean Regression in the Absence of Symmetry and Light Tail Assumptions
- Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
- Robust Estimation of a Location Parameter
This page was built for publication: Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity