activity
20052026
most citedAsymptotic properties of bridge estimators in sparse high-dimensional regression models

512 citations · 1.1k across the 41 of their papers we have counts for

collaborators

41 papers

cs.CY2026

AI-Assisted Causal Inference and Mediation Analyses of Environmental and Psychosocial Determinants of Subjective Cognitive Difficulties in the All of Us Research Program

Cong Cao, Shuangge Ma

Short-term environmental exposures have been linked to cognitive and behavioral outcomes, although many reported associations may reflect broader geographic and contextual differen…

stat.ME2023★ 1 cited

Regulation-incorporated Gene Expression Network-based Heterogeneity Analysis

Rong Li, Qingzhao Zhang, Shuangge Ma

Gene expression-based heterogeneity analysis has been extensively conducted. In recent studies, it has been shown that network-based analysis, which takes a system perspective and…

stat.ME2023

The Bayesian Regularized Quantile Varying Coefficient Model

Fei Zhou, Jie Ren, Shuangge Ma +1

The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of regression coefficients. In addition, due to the quantile check loss function, it is robust a…

stat.ME2023★ 3 cited

Locally sparse quantile estimation for a partially functional interaction model

Weijuan Liang, Qingzhao Zhang, Shuangge Ma

Functional data analysis has been extensively conducted. In this study, we consider a partially functional model, under which some covariates are scalars and have linear effects, w…

stat.ME2022

Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion

Sanguo Zhang, Xiaonan Hu, Ziye Luo +3

Heterogeneity is a hallmark of many complex diseases. There are multiple ways of defining heterogeneity, among which the heterogeneity in genetic regulations, for example GEs (gene…

stat.ME2022★ 7 cited

An integrative sparse boosting analysis of cancer genomic commonality and difference

Yifan Sun, Zhengyang Sun, Yu Jiang +2

In cancer research, high-throughput profiling has been extensively conducted. In recent studies, the integrative analysis of data on multiple cancer patient groups/subgroups has be…