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20092025
most citedA two-sample test for high-dimensional data with applications to gene-set testing

596 citations · 1.3k across the 18 of their papers we have counts for

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13 papers · 1 filter

math.ST2022★ 2 cited

Weighted Distributed Estimation under Heterogeneity

Jia Gu, Songxi Chen

This paper considers distributed M-estimation under heterogeneous distributions among distributed data blocks. A weighted distributed estimator is proposed to improve the efficienc…

math.ST2020★ 40 cited

Concentration Inequalities for Statistical Inference

Huiming Zhang, Song Xi Chen

This paper gives a review of concentration inequalities which are widely employed in non-asymptotical analyses of mathematical statistics in a wide range of settings, from distribu…

math.ST2018★ 4 cited

Distributed Statistical Inference for Massive Data

Song Xi Chen, Liuhua Peng

This paper considers distributed statistical inference for general symmetric statistics %that encompasses the U-statistics and the M-estimators in the context of massive data where…

math.ST2013★ 59 cited

Tests alternative to higher criticism for high-dimensional means under sparsity and column-wise dependence

Ping-Shou Zhong, Song Xi Chen, Minya Xu

We consider two alternative tests to the Higher Criticism test of Donoho and Jin [Ann. Statist. 32 (2004) 962-994] for high-dimensional means under the sparsity of the nonzero mean…

math.ST2013★ 64 cited

High dimensional generalized empirical likelihood for moment restrictions with dependent data

Jinyuan Chang, Song Xi Chen, Xiaohong Chen

This paper considers the maximum generalized empirical likelihood (GEL) estimation and inference on parameters identified by high dimensional moment restrictions with weakly depend…

math.ST2013★ 11 cited

Parameter estimation and model testing for Markov processes via conditional characteristic functions

Song X. Chen, Liang Peng, Cindy L. Yu

Markov processes are used in a wide range of disciplines, including finance. The transition densities of these processes are often unknown. However, the conditional characteristic…