2 citations · 8 across the 10 of their papers we have counts for
10 papers
A maximin optimal approach for sampling designs in two-phase studies
Ruoyu Wang, Qihua Wang, Wang Miao
Data collection costs can vary widely across variables in data science tasks. Two-phase designs can be employed to save data collection costs. This paper considers the two-phase st…
A Moment-assisted Approach for Improving Subsampling-based MLE with Large-scale data
Miaomiao Su, Qihua Wang, Ruoyu Wang
The maximum likelihood estimation is computationally demanding for large datasets, particularly when the likelihood function includes integrals. Subsampling can reduce the computat…
Extrema of local mean and local density in a tree
Ruoyu Wang
Given a tree T, one can define the local mean at some subtree S to be the average order of subtrees containing S. It is natural to ask which subtree of order k achieves the maximal…
Semiparametric Efficient Fusion of Individual Data and Summary Statistics
Wenjie Hu, Ruoyu Wang, Wei Li +1
Suppose we have individual data from an internal study and various summary statistics from relevant external studies. External summary statistics have the potential to improve stat…
Breaking Correlation Shift via Conditional Invariant Regularizer
Mingyang Yi, Ruoyu Wang, Jiachen Sun +2
Recently, generalization on out-of-distribution (OOD) data with correlation shift has attracted great attentions. The correlation shift is caused by the spurious attributes that co…
A robust fusion-extraction procedure with summary statistics in the presence of biased sources
Ruoyu Wang, Qihua Wang, Wang Miao
Information from various data sources is increasingly available nowadays. However, some of the data sources may produce biased estimation due to commonly encountered biased samplin…
Distributed nonparametric regression imputation for missing response problems with large-scale data
Ruoyu Wang, Miaomiao Su, Qihua Wang
Nonparametric regression imputation is commonly used in missing data analysis. However, it suffers from the ``curse of dimension". The problem can be alleviated by the explosive sa…
Characterization of Excess Risk for Locally Strongly Convex Population Risk
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
We establish upper bounds for the expected excess risk of models trained by proper iterative algorithms which approximate the local minima. Unlike the results built upon the strong…
Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates
Ruoyu Wang, Qihua Wang, Wang Miao +1
In a completely randomized experiment, the variances of treatment effect estimators in the finite population are usually not identifiable and hence not estimable. Although some est…
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19
Ruoyu Wang, Qihua Wang
Quarantine measure is a commonly used non-pharmaceutical intervention during the outbreak of infectious diseases. A key problem for implementing quarantine measure is to determine…