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Journal of the American Statistical Association Volume 114, 2019 - Issue 527
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Theory and Methods

Covariate-Adjusted Tensor Classification in High Dimensions

Yuqing PanDepartment of Statistics, Florida State University, Tallahassee, FLView further author information
,
Qing MaiDepartment of Statistics, Florida State University, Tallahassee, FLView further author information
&
Xin ZhangDepartment of Statistics, Florida State University, Tallahassee, FLView further author information
Pages 1305-1319 | Received 01 Jun 2017, Published online: 26 Oct 2018

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Junge Li & Qing Mai. (2024) Model-Based Tensor Low-Rank Clustering. Journal of Computational and Graphical Statistics 33:1, pages 208-218.
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Hilda S. Ibriga & Will Wei Sun. (2023) Covariate-Assisted Sparse Tensor Completion. Journal of the American Statistical Association 118:544, pages 2605-2619.
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Jian-Feng Cai, Jingyang Li & Dong Xia. (2023) Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization. Journal of the American Statistical Association 118:544, pages 2588-2604.
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Jing Zhang, Zhensheng Huang & Zhiqiang Jiang. (2023) Groupwise partial envelope model: efficient estimation in multivariate linear regression. Communications in Statistics - Simulation and Computation 52:7, pages 2924-2940.
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Bin Guo, Lynn E. Eberly, Pierre-Gilles Henry, Christophe Lenglet & Eric F. Lock. (2023) Multiway Sparse Distance Weighted Discrimination. Journal of Computational and Graphical Statistics 32:2, pages 730-743.
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Qing Mai, Xin Zhang, Yuqing Pan & Kai Deng. (2022) A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering. Journal of the American Statistical Association 117:540, pages 2120-2134.
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Jing Zhang & Zhensheng Huang. (2022) Efficient simultaneous partial envelope model in multivariate linear regression. Journal of Statistical Computation and Simulation 92:7, pages 1373-1400.
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Keqian Min, Qing Mai & Xin Zhang. (2022) Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models. Journal of Computational and Graphical Statistics 31:1, pages 294-300.
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Articles from other publishers (23)

Xuesong Hou, Qing Mai & Hui Zou. (2024) Tensor mixture discriminant analysis with applications to sensor array data analysis. The Annals of Applied Statistics 18:1.
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Wenqi Lu, Zhongyi Zhu, Rui Li & Heng Lian. (2024) Statistical performance of quantile tensor regression with convex regularization. Journal of Multivariate Analysis 200, pages 105249.
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Yao Wang, Cheng Wang & Binyan Jiang. (2024) Sr-LDA:Sparse and Reduced-Rank Linear Discriminant Analysis for High Dimensional Matrix. IEEE Signal Processing Letters 31, pages 1134-1138.
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Keqian Min, Qing Mai & Junge Li. (2023) Optimality in high-dimensional tensor discriminant analysis. Pattern Recognition 143, pages 109803.
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Inkoo Lee, Debajyoti Sinha, Qing Mai, Xin Zhang & Dipankar Bandyopadhyay. (2023) Bayesian Regression Analysis of Skewed Tensor Responses. Biometrics 79:3, pages 1814-1825.
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Xiumin Liu, Lu Niu & Junlong Zhao. (2023) Statistical inference on the significance of rows and columns for matrix-valued data in an additive model. TEST 32:3, pages 785-828.
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Chung-I. Li, Yu-Min Yeh, Yi-Shan Tsai, Tzu-Hsuan Huang, Meng-Ru Shen & Peng-Chan Lin. (2023) Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers. Human Genomics 17:1.
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Dipnil Chakraborty, Zhong Zhuang, Haoran Xue, Mark B. Fiecas, Xiatong Shen & Wei Pan. (2023) Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s Disease. Genes 14:3, pages 626.
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Zengchao Xu, Shan Luo & Zehua Chen. (2021) A Portmanteau Local Feature Discrimination Approach to the Classification with High-dimensional Matrix-variate Data. Sankhya A 85:1, pages 441-467.
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Qing Mai & Xin Zhang. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 817 829 .
Kai Deng & Xin Zhang. (2021) Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction. Biometrics 78:3, pages 1067-1079.
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Yi-Ching Huang, Yi-Shan Tsai, Chung-I Li, Ren-Hao Chan, Yu-Min Yeh, Po-Chuan Chen, Meng-Ru Shen & Peng-Chan Lin. (2022) Adjusted CT Image-Based Radiomic Features Combined with Immune Genomic Expression Achieve Accurate Prognostic Classification and Identification of Therapeutic Targets in Stage III Colorectal Cancer. Cancers 14:8, pages 1895.
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Keqian Min & Qing Mai. (2022) A general framework for tensor screening through smoothing. Electronic Journal of Statistics 16:1.
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Heng Lian. (2021) Learning Rate for Convex Support Tensor Machines. IEEE Transactions on Neural Networks and Learning Systems 32:8, pages 3755-3760.
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Jing Zhang, Zhensheng Huang & Yan Xiong. (2020) Efficient estimation of reduced-rank partial envelope model in multivariate linear regression. Random Matrices: Theory and Applications 10:02, pages 2150024.
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Xuan Bi, Xiwei Tang, Yubai Yuan, Yanqing Zhang & Annie Qu. (2021) Tensors in Statistics. Annual Review of Statistics and Its Application 8:1, pages 345-368.
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Ruth M. Pfeiffer, Daniel B. Kapla & Efstathia Bura. (2020) Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors. International Journal of Data Science and Analytics 11:1, pages 11-26.
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Yuanwen Wang, Yuan Xue, Qingcong Yuan & Xiangrong Yin. 2021. Festschrift in Honor of R. Dennis Cook. Festschrift in Honor of R. Dennis Cook 127 165 .
Yuqing Pan & Qing Mai. (2020) Efficient computation for differential network analysis with applications to quadratic discriminant analysis. Computational Statistics & Data Analysis 144, pages 106884.
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Irina Gaynanova. (2020) Prediction and estimation consistency of sparse multi-class penalized optimal scoring. Bernoulli 26:1.
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Yingjie Li, Liangliang Zhang & Tapabrata Maiti. (2020) High dimensional classification for spatially dependent data with application to neuroimaging. Electronic Journal of Statistics 14:2.
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Anru R. Zhang, Yuetian Luo, Garvesh Raskutti & Ming Yuan. (2020) ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM Journal on Mathematics of Data Science 2:2, pages 444-479.
Crossref
Jia Zhang & Xin Chen. (2019) Robust sufficient dimension reduction via ball covariance. Computational Statistics & Data Analysis 140, pages 144-154.
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