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06/27/2023
Network-Adjusted Covariates for Community Detection
Community detection is a crucial task in network analysis that can be si...
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06/22/2023
PCA matrix denoising is uniform
Principal component analysis (PCA) is a simple and popular tool for proc...
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07/30/2022
Covariate-Assisted Community Detection on Sparse Networks
Community detection is an important problem when processing network data...
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10/11/2021
Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
High-throughput sequencing technology allows us to test the compositiona...
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08/24/2021
Phase Transitions for High-Dimensional Quadratic Discriminant Analysis with Rare and Weak Signals
Consider a two-class classification problem where we observe samples (X_...
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06/05/2020
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs
Graph matching is a fruitful area in terms of both algorithms and theori...
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02/24/2015