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20092023
most citedQuantile Regression Under Memory Constraint

166 citations · 585 across the 26 of their papers we have counts for

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Showing math.STShow all

10 papers · 1 filter

math.ST2022★ 5 cited

Distributed Estimation and Inference for Semi-parametric Binary Response Models

Xi Chen, Wenbo Jing, Weidong Liu +1

The development of modern technology has enabled data collection of unprecedented size, which poses new challenges to many statistical estimation and inference problems. This paper…

math.ST2021★ 1 cited

A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity

Zeyu Wu, Cheng Wang, Weidong Liu

In this paper, we estimate the high dimensional precision matrix under the weak sparsity condition where many entries are nearly zero. We revisit the sparse column-wise inverse ope…

math.ST2018★ 5 cited

Spectral Analysis of High-dimensional Time Series

Mark Fiecas, Chenlei Leng, Weidong Liu +1

A useful approach for analysing multiple time series is via characterising their spectral density matrix as the frequency domain analog of the covariance matrix. When the dimension…

math.ST2017

Asymptotic false discovery control of the Benjamini-Hochberg procedure for pairwise comparisons

Weidong Liu, Dennis Leung, Qiman Shao

In a one-way analysis-of-variance (ANOVA) model, the number of all pairwise comparisons can be large even when there are only a moderate number of groups. Motivated by this, we con…

math.ST2017

Testing independence with high-dimensional correlated samples

Xi Chen, Weidong Liu

Testing independence among a number of (ultra) high-dimensional random samples is a fundamental and challenging problem. By arranging identically distributed -dimensional ra…

math.ST2013★ 10 cited

Self-normalized Cramér type moderate deviations for the maximum of sums

Weidong Liu, Qi-Man Shao, Qiying Wang

Let be independent random variables with zero means and finite variances, and let and . A Cramér type moderate deviatio…