no code implementations • 14 Apr 2024 • Xiufan Yu, Linjun Zhang, Arun Srinivasan, Min-ge Xie, Lingzhou Xue
Compared to the existing $p$-value combination methods, including the vanilla Cauchy combination method, the proposed combination framework can handle the dependence accurately and utilizes the information efficiently to construct tests with accurate size and enhanced power.
no code implementations • 22 Feb 2021 • Xueying Chen, Jerry Q. Cheng, Min-ge Xie
In the context of big data analysis, the divide-and-conquer methodology refers to a multiple-step process: first splitting a data set into several smaller ones; then analyzing each set separately; finally combining results from each analysis together.
