Research output per year
Research output per year
- 36 results
Search results
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2024
Central limit theorems for high dimensional dependent data
Chang, J., Chen, X. & Wu, M., Feb 2024, In: Bernoulli. 30, 1, p. 712-742 31 p.Research output: Contribution to journal › Article › peer-review
Open Access -
STATISTICALLY OPTIMAL K-MEANS CLUSTERING VIA NONNEGATIVE LOW-RANK SEMIDEFINITE PROGRAMMING
Zhuang, Y., Chen, X., Yang, Y. & Zhang, R. Y., 2024.Research output: Contribution to conference › Paper › peer-review
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2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
Zhuang, Y., Chen, X. & Yang, Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 43326-43346 21 p.Research output: Contribution to journal › Conference article › peer-review
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Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Song, Y., Chen, X. & Kato, K., 2023, In: Bernoulli. 29, 1, p. 323-349 27 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
A robust bootstrap change point test for high-dimensional location parameter
Yu, M. & Chen, X., 2022, In: Electronic Journal of Statistics. 16, 1, p. 1096-1152 57 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Yao, R., Chen, X. & Yang, Y., 2022, In: Proceedings of Machine Learning Research. 178, p. 2242-2275 34 p.Research output: Contribution to journal › Conference article › peer-review
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ROBUST INFERENCE FOR PARTIALLY OBSERVED FUNCTIONAL RESPONSE DATA
Park, Y., Chen, X. & Simpson, D. G., Oct 2022, In: Statistica Sinica. 32, 4, p. 2265-2293 29 p.Research output: Contribution to journal › Article › peer-review
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Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering
Zhuang, Y., Chen, X. & Yang, Y., 2022, In: Proceedings of Machine Learning Research. 151, p. 9214-9246 33 p.Research output: Contribution to journal › Conference article › peer-review
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Wasserstein K-means for clustering probability distributions
Zhuang, Y., Chen, X. & Yang, Y., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2021
Cutoff for Exact Recovery of Gaussian Mixture Models
Chen, X. & Yang, Y., Jun 2021, In: IEEE Transactions on Information Theory. 67, 6, p. 4223-4238 16 p., 9366690.Research output: Contribution to journal › Article › peer-review
Open Access -
Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations
Chen, X. & Yang, Y., May 2021, In: Applied and Computational Harmonic Analysis. 52, p. 303-347 45 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Finite sample change point inference and identification for high-dimensional mean vectors
Yu, M. & Chen, X., Apr 2021, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 83, 2, p. 247-270 24 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Hanson–Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data
Chen, X. & Yang, Y., Feb 2021, In: Bernoulli. 27, 1, p. 586-614 29 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Chen, X., 2021, In: Electronic Communications in Probability. 26, 45.Research output: Contribution to journal › Article › peer-review
Open Access -
2020
Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series
Xu, M., Chen, X. & Wu, W. B., Jan 1 2020, In: Entropy. 22, 1, p. 55 1 p., 55.Research output: Contribution to journal › Article › peer-review
Open Access -
Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications
Chen, X. & Kato, K., Apr 1 2020, In: Probability Theory and Related Fields. 176, 3-4, p. 1097-1163 67 p.Research output: Contribution to journal › Article › peer-review
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Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
Chen, X. & Qiu, Z., Apr 20 2020, In: Covid Economics, Vetted and Real-Time Papers. 7, p. 46-67Research output: Contribution to journal › Article › peer-review
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2019
Approximating high-dimensional infinite-order U-statistics: Statistical and computational guarantees
Song, Y., Chen, X. & Kato, K., 2019, In: Electronic Journal of Statistics. 13, 2, p. 4794-4848 55 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Randomized incomplete u-statistics in high dimensions
Chen, X. & Kato, K., 2019, In: Annals of Statistics. 47, 6, p. 3127-3156 30 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2018
Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications1
Chen, X., Apr 2018, In: Annals of Statistics. 46, 2, p. 642-678 37 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Inference of high-dimensional linear models with time-varying coefficients
Chen, X. & He, Y., Jan 2018, In: Statistica Sinica. 28, 1, p. 255-276 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2017
Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models
Ding, X., Qiu, Z. & Chen, X., 2017, In: Electronic Journal of Statistics. 11, 2, p. 3871-3902 32 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2016
Regularized Estimation of Linear Functionals of Precision Matrices for High-Dimensional Time Series
Chen, X., Xu, M. & Wu, W. B., Dec 15 2016, In: IEEE Transactions on Signal Processing. 64, 24, p. 6459-6470 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2015
Discussion of “High-dimensional autocovariance matrices and optimal linear prediction”
Chen, X., 2015, In: Electronic Journal of Statistics. 9, p. 801-810 10 p.Research output: Contribution to journal › Article › peer-review
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2014
A genetically informed, group fMRI connectivity modeling approach: Application to schizophrenia
Liu, A., Chen, X., Wang, Z. J., Xu, Q., Appel-Cresswell, S. & McKeown, M. J., Mar 2014, In: IEEE Transactions on Biomedical Engineering. 61, 3, p. 946-956 11 p., 6678714.Research output: Contribution to journal › Article › peer-review
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A note on moment inequality for quadratic forms
Chen, X., Sep 2014, In: Statistics and Probability Letters. 92, p. 83-88 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2013
Covariance and precision matrix estimation for high-dimensional time series
Chen, X., Xu, M. & Wu, W. B., Dec 2013, In: Annals of Statistics. 41, 6, p. 2994-3021 28 p.Research output: Contribution to journal › Article › peer-review
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2012
A two-graph guided multi-task lasso approach for eQTL mapping
Chen, X., Shi, X., Xu, X., Wang, Z., Mills, R., Lee, C. & Xu, J., 2012, In: Journal of Machine Learning Research. 22, p. 208-217 10 p.Research output: Contribution to journal › Conference article › peer-review
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Efficient minimax estimation of a class of high-dimensional sparse precision matrices
Chen, X., Kim, Y. H. & Wang Jane, Z., Jun 2012, In: IEEE Transactions on Signal Processing. 60, 6, p. 2899-2912 14 p., 6159094.Research output: Contribution to journal › Article › peer-review
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Large covariance matrix estimation: Bridging shrinkage and tapering approaches
Chen, X., Wang, Z. J. & McKeown, M. J., 2012, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. p. 2013-2016 4 p. 6288303. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Shrinkage-to-tapering estimation of large covariance matrices
Chen, X., Wang, Z. J. & McKeown, M. J., 2012, In: IEEE Transactions on Signal Processing. 60, 11, p. 5640-5656 17 p., 6252067.Research output: Contribution to journal › Article › peer-review
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2011
A Bayesian Lasso via reversible-jump MCMC
Chen, X., Jane Wang, Z. & McKeown, M. J., Aug 2011, In: Signal Processing. 91, 8, p. 1920-1932 13 p.Research output: Contribution to journal › Article › peer-review
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2010
Asymptotic analysis of robust LASSOs in the presence of noise with large variance
Chen, X., Wang, Z. J. & McKeown, M. J., Oct 2010, In: IEEE Transactions on Information Theory. 56, 10, p. 5131-5149 19 p., 5571842.Research output: Contribution to journal › Article › peer-review
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Asymptotic analysis of the Huberized LASSO estimator
Chen, X., Wang, Z. J. & McKeown, M. J., 2010, 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1898-1901 4 p. 5495338. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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FMRI group studies of brain connectivity via a group robust LASSO
Chen, X., Wang, Z. J. & Mckeown, M. J., 2010, 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings. p. 589-592 4 p. 5652779. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2009
An MM-based optimization algorithm for sparse linear modeling on microarray data analysis
Chen, X. & Gottardo, R., 2009, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 5162334. (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution