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20202025
most citedA Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques

22 citations · 23 across the 9 of their papers we have counts for

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2 papers · 1 filter

stat.CO2023

Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks

Xuetong Li, Feifei Wang, Wei Lan +1

Large-scale networks are commonly encountered in practice (e.g., Facebook and Twitter) by researchers. In order to study the network interaction between different nodes of large-sc…

stat.CO2023

Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator

Haobo Qi, Feifei Wang, Hansheng Wang

We study here a fixed mini-batch gradient decent (FMGD) algorithm to solve optimization problems with massive datasets. In FMGD, the whole sample is split into multiple non-overlap…