82 citations · 384 across the 49 of their papers we have counts for
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stat.ME2023★ 1 cited
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Runshi Tang, Ming Yuan, Anru R. Zhang
This paper introduces a novel framework called Mode-wise Principal Subspace Pursuit (MOP-UP) to extract hidden variations in both the row and column dimensions for matrix data. To…
math.ST2023★ 2 cited
Phase transition for detecting a small community in a large network
Jiashun Jin, Zheng Tracy Ke, Paxton Turner +1
How to detect a small community in a large network is an interesting problem, including clique detection as a special case, where a naive degree-based -test was shown to be po…