xin zhang

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Qing MaiFlorida State UniversityAdresse e-mail validée de stat.fsu.edu
R. Dennis CookProfessor of Statistics, University of MinnesotaAdresse e-mail validée de umn.edu
Lexin LiProfessor of Biostatistics, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Yuqing PanEtsyAdresse e-mail validée de etsy.com
Kai DengMicrosoftAdresse e-mail validée de microsoft.com
Jing ZengUniversity of Science and Technology of ChinaAdresse e-mail validée de ustc.edu.cn
Wenjing WangMicorosftAdresse e-mail validée de my.fsu.edu
Liliana ForzaniFIQ - UNL - CONICETAdresse e-mail validée de santafe-conicet.gov.ar
Ruoqing ZhuAssociate Professor, Department of Statistics, University of Illinois Urbana-ChampaignAdresse e-mail validée de illinois.edu
Xiaofeng ShaoDepartment of Statistics, University of Illinois, at Urbana-ChampaignAdresse e-mail validée de illinois.edu
Keqian MinFlorida State UniversityAdresse e-mail validée de fsu.edu
Hui ZouUniversity of MinnesotaAdresse e-mail validée de umn.edu
Joshua Daniel LoyalAssistant Professor, Department of Statistics, Florida State UniversityAdresse e-mail validée de fsu.edu
Bing LiProfessor of Statistics, Pennsylvania State UniversityAdresse e-mail validée de stat.psu.edu
Ian McKeagueProfessor of Biostatistics, Columbia UniversityAdresse e-mail validée de columbia.edu
Aaron J. MolstadSchool of Statistics, University of MinnesotaAdresse e-mail validée de umn.edu

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xin zhang

Florida State University

Adresse e-mail validée de stat.fsu.edu - Page d'accueil

Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Parsimonious tensor response regression L Li, X Zhang Journal of the American Statistical Association 112 (519), 1131-1146, 2017	195	2017
Foundations for envelope models and methods RD Cook, X Zhang Journal of the American Statistical Association 110 (510), 599-611, 2015	98	2015
Fused estimators of the central subspace in sufficient dimension reduction RD Cook, X Zhang Journal of the American Statistical Association 109 (506), 815-827, 2014	65	2014
Simultaneous envelopes for multivariate linear regression RD Cook, X Zhang Technometrics 57 (1), 11-25, 2015	59	2015
Tensor Envelope Partial Least-Squares Regression X Zhang, L Li Technometrics 59 (4), 426-436, 2017	58	2017
Covariate-Adjusted Tensor Classification in High Dimensions Y Pan, Q Mai, X Zhang Journal of the American statistical association 114 (527), 1305-1319, 2019	56	2019
Algorithms for envelope estimation RD Cook, X Zhang Journal of Computational and Graphical Statistics 25 (1), 284-300, 2016	53	2016
An Iterative Penalized Least Squares Approach to Sparse Canonical Correlation Analysis Q Mai, X Zhang Biometrics, 2019	42	2019
Envelopes and reduced-rank regression RD Cook, L Forzani, X Zhang Biometrika 102 (2), 439-456, 2015	41	2015
A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering Q Mai, X Zhang, Y Pan, K Deng Journal of the American Statistical Association, 1-44, 2021	31	2021
Fast envelope algorithms RD Cook, X Zhang Statistica Sinica 28 (3), 1179-1197, 2018	29	2018
Model-free envelope dimension selection X Zhang, Q Mai Electronic Journal of Statistics 12 (2), 2193-2216, 2018	23	2018
Efficient integration of sufficient dimension reduction and prediction in discriminant analysis X Zhang, Q Mai Technometrics, 2018	20	2018
Functional envelope for model-free sufficient dimension reduction X Zhang, C Wang, Y Wu Journal of Multivariate Analysis 163, 37-50, 2018	17	2018
Common Reducing Subspace Model and Network Alternation Analysis W Wang, X Zhang, L Li Biometrics, 2019	15	2019
Subspace estimation with automatic dimension and variable selection in sufficient dimension reduction J Zeng, Q Mai, X Zhang Journal of the American Statistical Association 119 (545), 343-355, 2024	11	2024
Fast and Separable Estimation in High-dimensional Tensor Gaussian Graphical Models K Min, Q Mai, X Zhang Journal of Computational and Graphical Statistics, 1-16, 2021	10	2021
The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response X Zhang, Q Mai, H Zou Journal of Machine Learning Research, 2020	8	2020
Tulip: A toolbox for linear discriminant analysis with penalties Y Pan, Q Mai, X Zhang arXiv preprint arXiv:1904.03469, 2019	6	2019
orthoDr: Semiparametric dimension reduction via orthogonality constrained optimization R Zhu, J Zhang, R Zhao, P Xu, W Zhou, X Zhang arXiv preprint arXiv:1811.11733, 2018	6	2018

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