55 citations · 87 across the 11 of their papers we have counts for
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stat.CO2024
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…
stat.CO2023★ 55 cited
A review of distributed statistical inference
Yuan Gao, Weidong Liu, Hansheng Wang +3
The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to deve…
stat.CO2022★ 1 cited
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks
Yimeng Ren, Zhe Li, Xuening Zhu +2
The rapid growth of online network platforms generates large-scale network data and it poses great challenges for statistical analysis using the spatial autoregression (SAR) model.…