7 citations · 12 across the 2 of their papers we have counts for
6 papers
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…
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…
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
T. Tony Cai, Hongzhe Li, Rong Ma
Driven by a wide range of applications, many principal subspace estimation problems have been studied individually under different structural constraints. This paper presents a uni…
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix
Rong Ma, T. Tony Cai, Hongzhe Li
Motivated by the problem of estimating the bacterial growth rates for genome assemblies from shotgun metagenomic data, we consider the permuted monotone matrix model , wher…
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Rong Ma, T. Tony Cai, Hongzhe Li
Motivated by recent research on quantifying bacterial growth dynamics based on genome assemblies, we consider a permuted monotone matrix model , where the rows represent di…
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…