Robust optimal subsampling based on weighted asymmetric least squares

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Asymmetric Least Squares Estimation and Testing
High-dimensional generalizations of asymmetric least squares regression and their applications
Faster least squares approximation
Variable selection in high-dimensional linear model with possibly asymmetric errors
Some results on the convergence of conditional distributions
Optimal subsampling for large-scale quantile regression
Optimal subsampling for composite quantile regression in big data
Subdata selection algorithm for linear model discrimination
Optimal subsampling for composite quantile regression model in massive data
Orthogonal subsampling for big data linear regression
Penalized expectile regression: an alternative to penalized quantile regression
On the Estimation of Production Frontiers: Maximum Likelihood Estimation of the Parameters of a Discontinuous Density Function
Regression Quantiles
Asymptotic Statistics
Optimal Subsampling for Large Sample Logistic Regression
A new GEE method to account for heteroscedasticity using asymmetric least-square regressions
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model
Least-Square Approximation for a Distributed System
Information-Based Optimal Subdata Selection for Big Data Linear Regression
Optimal Design of Experiments
Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population
Optimal subsampling for quantile regression in big data
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data
Information-based optimal subdata selection for non-linear models
On Quantile‐based Asymmetric Family of Distributions: Properties and Inference
Optimal subsampling for functional quantile regression
A review on design inspired subsampling for big data