Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications. Xiaohui Chen. Annals of Statistics, to appear, 2017.
Inference of high-dimensional linear models with time-varying coefficients. Xiaohui Chen, Yifeng He. Statistica Sinica, In press.
Regularized estimation of linear functionals of precision matrices for high-dimensional time series. Xiaohui Chen, Mengyu Xu, Wei Biao Wu. IEEE Transactions on Signal Processing, 2016, 64(24), 6459-6470.
A note on moment inequality for quadratic forms. Xiaohui Chen. Statistics and Probability Letters, 2014, Vol. 92, 83-88.
A genetically-informed, group fMRI connectivity modeling approach: application to Schizophrenia. Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown. IEEE Transactions on Biomedical Engineering, 2014, 61(3), 946-956.
Covariance and precision matrix estimation for high-dimensional time series. Xiaohui Chen, Mengyu Xu, Wei Biao Wu. Annals of Statistics, 2013, 41(6), 2994-3021.
Efficient minimax estimation of a class of high-dimensional sparse precision matrices. Xiaohui Chen, Young-Heon Kim, Z. Jane Wang. IEEE Transactions on Signal Processing, 2012, 60(6), 2899-2912.
Shrinkage-to-tapering estimation of large covariance matrices. Xiaohui Chen, Z. Jane Wang, Martin J. McKeown. IEEE Transactions on Signal Processing, 2012, 60(11), 5640-5656.
A two-graph guided multi-task Lasso approach for eQTL mapping. Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan E. Mills, Charles Lee, Jinbo Xu. AISTATS'12, La Palma, Canary Islands, April 2012. Also appeared in Journal of Machine Learning Research W&CP, Vol 22, 208-217.
A Bayesian Lasso via reversible-jump MCMC. Xiaohui Chen, Z. Jane Wang, Martin J. McKeown. Signal Processing, 2011, 91(8), 1920-1932.