42 citations · 82 across the 6 of their papers we have counts for
6 papers
Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
Lan Luo, Ling Zhou, Peter X. -K. Song
This paper develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with correlated outcomes such as longitudinal data a…
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou +1
Accurately estimating personalized treatment effects within a study site (e.g., a hospital) has been challenging due to limited sample size. Furthermore, privacy considerations and…
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei Wang, Ling Zhou, Lu Tang +1
Simultaneous inference after model selection is of critical importance to address scientific hypotheses involving a set of parameters. In this paper, we consider high-dimensional l…
Scalable and Efficient Statistical Inference with Estimating Functions in the MapReduce Paradigm for Big Data
Ling Zhou, Peter X. -K. Song
The theory of statistical inference along with the strategy of divide-and-conquer for large- scale data analysis has recently attracted considerable interest due to great popularit…
Distributed Simultaneous Inference in Generalized Linear Models via Confidence Distribution
Lu Tang, Ling Zhou, Peter X. -K. Song
We propose a distributed method for simultaneous inference for datasets with sample size much larger than the number of covariates, i.e., N >> p, in the generalized linear models f…
Local partial likelihood estimation in proportional hazards regression
Songnian Chen, Lingzhi Zhou
Fan, Gijbels and King [Ann. Statist. 25 (1997) 1661--1690] considered the estimation of the risk function in the proportional hazards model. Their proposed estimator is base…