1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2024
Hypothesis Testing for High-Dimensional Matrix-Valued Data
Shijie Cui, Danning Li, Runze Li +1
This paper addresses hypothesis testing for the mean of matrix-valued data in high-dimensional settings. We investigate the minimum discrepancy test, originally proposed by Cragg (…
stat.ME2024
Double-Estimation-Friendly Inference for High-Dimensional Measurement Error Models with Non-Sparse Adaptability
Shijie Cui, Xu Guo, Songshan Yang +1
In this paper, we introduce an innovative testing procedure for assessing individual hypotheses in high-dimensional linear regression models with measurement errors. This method re…
stat.ME2024★ 1 cited
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
Shijie Cui, Xu Guo, Zhe Zhang
This paper is concerned with estimation and inference for ultrahigh dimensional partially linear single-index models. The presence of high dimensional nuisance parameter and nuisan…