Related references
Note: Only part of the references are listed.A fast divide-and-conquer sparse Cox regression
Yan Wang et al.
BIOSTATISTICS (2021)
An online updating approach for testing the proportional hazards assumption with streams of survival data
Yishu Xue et al.
BIOMETRICS (2020)
Distributed simultaneous inference in generalized linear models via confidence distribution
Lu Tang et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2020)
Quantile regression in big data: A divide and conquer based strategy
Lanjue Chen et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2020)
Information-Based Optimal Subdata Selection for Big Data Linear Regression
HaiYing Wang et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
A distributed one-step estimator
Cheng Huang et al.
MATHEMATICAL PROGRAMMING (2019)
DISTRIBUTED INFERENCE FOR QUANTILE REGRESSION PROCESSES
Stanislav Volgushev et al.
ANNALS OF STATISTICS (2019)
Precision Oncology in Sarcomas: Divide and Conquer
Roberto Carmagnani Pestana et al.
JCO PRECISION ONCOLOGY (2019)
A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization
Peng Yang et al.
IEEE ACCESS (2019)
DISTRIBUTED TESTING AND ESTIMATION UNDER SPARSE HIGH DIMENSIONAL MODELS
Heather Battey et al.
ANNALS OF STATISTICS (2018)
A Subsampled Double Bootstrap for Massive Data
Srijan Sengupta et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2016)
A scalable bootstrap for massive data
Ariel Kleiner et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2014)
Challenges of Big Data analysis
Jianqing Fan et al.
NATIONAL SCIENCE REVIEW (2014)
Locally Weighted Censored Quantile Regression
Huixia Judy Wang et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)
Regularized estimation in the accelerated failure time model with high-dimensional covariates
Jian Huang et al.
BIOMETRICS (2006)
Rank-based inference for the accelerated failure time model
ZZ Jin et al.
BIOMETRIKA (2003)
Variable selection via nonconcave penalized likelihood and its oracle properties
JQ Fan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
Share Paper
