activity
20052023
most citedOne-step sparse estimates in nonconcave penalized likelihood models

686 citations · 2.6k across the 33 of their papers we have counts for

collaborators

33 papers

econ.EM2023★ 1 cited

Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure

Xiaorong Yang, Jia Chen, Degui Li +1

This paper considers estimating functional-coefficient models in panel quantile regression with individual effects, allowing the cross-sectional and temporal dependence for large p…

stat.ME2022

Model-Free Statistical Inference on High-Dimensional Data

Xu Guo, Runze Li, Zhe Zhang +1

This paper aims to develop an effective model-free inference procedure for high-dimensional data. We first reformulate the hypothesis testing problem via sufficient dimension reduc…

stat.ME2022

Causal Structural Learning on MPHIA Individual Dataset

Le Bao, Changcheng Li, Runze Li +1

The Population-based HIV Impact Assessment (PHIA) is an ongoing project that conducts nationally representative HIV-focused surveys for measuring national and regional progress tow…

stat.ME2021★ 10 cited

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors

Wanjun Liu, Xiufan Yu, Runze Li

We propose a multiple-splitting projection test (MPT) for one-sample mean vectors in high-dimensional settings. The idea of projection test is to project high-dimensional samples t…

stat.ME2021

Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing

Xiufan Yu, Danning Li, Lingzhou Xue +1

Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-…

stat.ME2021★ 4 cited

Propensity score regression for causal inference with treatment heterogeneity

Peng Wu, ShaSha Han, Xingwei Tong +1

Understanding how treatment effects vary on individual characteristics is critical in the contexts of personalized medicine, personalized advertising and policy design. When the ch…