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20042023
most citedHigher criticism for detecting sparse heterogeneous mixtures

754 citations · 1.7k across the 32 of their papers we have counts for

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19 papers · 1 filter

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…

math.ST2019★ 1 cited

Optimal Adaptivity of Signed-Polygon Statistics for Network Testing

Jiashun Jin, Zheng Tracy Ke, Shengming Luo

Given a symmetric social network, we are interested in testing whether it has only one community or multiple communities. The desired tests should (a) accommodate severe degree het…

math.ST2017★ 10 cited

A Sharp Lower Bound for Mixed-membership Estimation

Jiashun Jin, Zheng Tracy Ke

Consider an undirected network with nodes and perceivable communities, where some nodes may have mixed memberships. We assume that for each node , there is…

math.ST2017★ 1 cited

Distributions and Statistical Power of Optimal Signal-Detection Methods In Finite Cases

Hong Zhang, Jiashun Jin, Zheyang Wu

In big data analysis for detecting rare and weak signals among features, some grouping-test methods such as Higher Criticism test (HC), Berk-Jones test (B-J), and -divergenc…

math.ST2015★ 10 cited

Phase Transitions for High Dimensional Clustering and Related Problems

Jiashun Jin, Zheng Tracy Ke, Wanjie Wang

Consider a two-class clustering problem where we observe , , . The feature vector is unknown bu…

math.ST2014

Rare and Weak effects in Large-Scale Inference: methods and phase diagrams

Jiashun Jin, Tracy Ke

Often when we deal with `Big Data', the true effects we are interested in are Rare and Weak (RW). Researchers measure a large number of features, hoping to find perhaps only a smal…