Distributed smoothed rank regression with heterogeneous errors for massive data

Distributed adaptive lasso penalized generalized linear models for big data

(2021) Ye Fan et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Robust distributed estimation and variable selection for massive datasets via rank regression

(2021) Jiaming Luan et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation

(2020) Ye Fan et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Distributed inference for quantile regression processes

(2019) Stanislav Volgushev et al.   ANNALS OF STATISTICS

Distributed simultaneous inference in generalized linear models via confidence distribution

(2019) Lu Tang et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Quantile regression in big data: A divide and conquer based strategy

(2019) Lanjue Chen et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

ADMM for Penalized Quantile Regression in Big Data

(2017) Liqun Yu et al.   INTERNATIONAL STATISTICAL REVIEW

Optimal Subsampling for Large Sample Logistic Regression

(2017) HaiYing Wang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Empirical likelihood-based weighted rank regression with missing covariates

(2017) Tianqing Liu et al.   STATISTICAL PAPERS

Online Updating of Statistical Inference in the Big Data Setting

(2016) Elizabeth D. Schifano et al.   TECHNOMETRICS

Semi-parametric rank regression with missing responses

(2015) Huybrechts F. Bindele et al.   JOURNAL OF MULTIVARIATE ANALYSIS

A scalable bootstrap for massive data

(2014) Ariel Kleiner et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review

(2013) Min-ge Xie et al.   INTERNATIONAL STATISTICAL REVIEW

Efficient Estimation for Rank-Based Regression with Clustered Data

(2012) Liya Fu et al.   BIOMETRICS

Model-Free Feature Screening for Ultrahigh-Dimensional Data

(2012) Li-Ping Zhu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Rank regression for accelerated failure time model with clustered and censored data

(2011) You-Gan Wang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Sure independence screening in generalized linear models with NP-dimensionality

(2010) Jianqing Fan et al.   ANNALS OF STATISTICS

Compression and Aggregation for Logistic Regression Analysis in Data Cubes

(2008) Ruibin Xi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Sure independence screening for ultrahigh dimensional feature space

(2008) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY