22 citations · 22 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 22 cited
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…
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…