Optimal subsampling for composite quantile regression in big data
From MaRDI portal
Publication:2093142
DOI10.1007/s00362-022-01292-1OpenAlexW4210826593MaRDI QIDQ2093142
Publication date: 4 November 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-022-01292-1
Related Items (2)
Optimal subsampling for functional quantile regression ⋮ Optimal subsampling for least absolute relative error estimators with massive data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Single-index composite quantile regression with heteroscedasticity and general error distributions
- Weighted composite quantile estimation and variable selection method for censored regression model
- Aggregated estimating equation estimation
- Estimation and test procedures for composite quantile regression with covariates missing at random
- Weighted local linear CQR for varying-coefficient models with missing covariates
- Faster least squares approximation
- Composite quantile regression and the oracle model selection theory
- Two-layer EM algorithm for ALD mixture regression models: a new solution to composite quantile regression
- Two step composite quantile regression for single-index models
- Limiting distributions for \(L_1\) regression estimators under general conditions
- An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data
- Optimal subsampling for softmax regression
- New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
- Sampling algorithms for l2 regression and applications
- Asymptotic Statistics
- Composite quantile regression for massive datasets
- Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
- Optimal Subsampling for Large Sample Logistic Regression
- Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration
- Information-Based Optimal Subdata Selection for Big Data Linear Regression
- Optimal subsampling for quantile regression in big data
This page was built for publication: Optimal subsampling for composite quantile regression in big data