7 citations · 12 across the 3 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2020★ 7 cited
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang, Rong Ma, T. Tony Cai +1
This paper studies the high-dimensional mixed linear regression (MLR) where the output variable comes from one of the two linear regression models with an unknown mixing proportion…
stat.ME2020★ 5 cited
The Asymptotic Distribution of Modularity in Weighted Signed Networks
Rong Ma, Ian Barnett
Modularity is a popular metric for quantifying the degree of community structure within a network. The distribution of the largest eigenvalue of a network's edge weight or adjacenc…
stat.ME2018
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
Rong Ma, T. Tony Cai, Hongzhe Li
High-dimensional logistic regression is widely used in analyzing data with binary outcomes. In this paper, global testing and large-scale multiple testing for the regression coeffi…