Universal Rank Inference via Residual Subsampling with Application to
Large Networks

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Universal Rank Inference via Residual Subsampling with Application to Large Networks

25 December 2019

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Papers citing "Universal Rank Inference via Residual Subsampling with Application to Large Networks"

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Title
Learning Joint and Individual Structure in Network Data with Covariates Carson James Dongbang Yuan Irina Gaynanova Jesús Arroyo CML 59 1 0 13 Jun 2024
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models Yucheng Liu Xiaodong Li 236 0 0 08 Jun 2024
On inference for modularity statistics in structured networks Anirban Mitra Konasale Prasad Joshua Cape 96 0 0 23 Feb 2024
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 66 1 0 10 May 2023
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals Jianqing Fan Yingying Fan Jinchi Lv Fan Yang 114 3 0 31 Oct 2022
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 97 21 0 27 May 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 153 173 0 15 Dec 2020
A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan Yuguang Yue Purnamrita Sarkar Y. X. R. Wang 78 2 0 17 Oct 2019
Recovering shared structure from multiple networks with unknown edge distributions Keith D. Levin A. Lodhia Elizaveta Levina 38 9 0 13 Jun 2019