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Ben Sherwood & Bradley S. Price. (2024) On the Use of Minimum Penalties in Statistical Learning. Journal of Computational and Graphical Statistics 33:1, pages 138-151.
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Le Zhou, R. Dennis Cook & Hui Zou. (2023) Enveloped Huber Regression. Journal of the American Statistical Association 0:0, pages 1-11.
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Zhihua Su, Bing Li & Dennis Cook. (2023) Envelope Model for Function-on-Function Linear Regression. Journal of Computational and Graphical Statistics 32:4, pages 1624-1635.
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S. Yaser Samadi & H. M. Wiranthe B. Herath. (2023) Reduced-Rank Envelope Vector Autoregressive Model. Journal of Business & Economic Statistics 0:0, pages 1-27.
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Linquan Ma, Jixin Wang, Han Chen & Lan Liu. (2023) Semiparametrically Efficient Method for Enveloped Central Space. Journal of the American Statistical Association 0:0, pages 1-12.
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Saptarshi Chakraborty & Zhihua Su. (2023) A Comprehensive Bayesian Framework for Envelope Models. Journal of the American Statistical Association 0:0, pages 1-11.
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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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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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Aaron J. Molstad, Guangwei Weng, Charles R. Doss & Adam J. Rothman. (2021) An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression. Journal of Computational and Graphical Statistics 30:3, pages 612-621.
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Eric F. Lock. (2018) Tensor-on-Tensor Regression. Journal of Computational and Graphical Statistics 27:3, pages 638-647.
Read now
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Lexin Li & Xin Zhang. (2017) Parsimonious Tensor Response Regression. Journal of the American Statistical Association 112:519, pages 1131-1146.
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R. Dennis Cook & Xin Zhang. (2016) Algorithms for Envelope Estimation. Journal of Computational and Graphical Statistics 25:1, pages 284-300.
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Articles from other publishers (45)
Scott A. Vander Wiel, Michael J. Grosskopf, Isaac J. Michaud & Denise Neudecker. (2023) Driving mode analysis—How uncertain functional inputs propagate to an output. Statistical Analysis and Data Mining: The ASA Data Science Journal 17:1.
Crossref
Crossref
R. Dennis Cook, Liliana Forzani & Lan Liu. (2023) Envelopes for multivariate linear regression with linearly constrained coefficients. Scandinavian Journal of Statistics.
Crossref
Crossref
Ziwen Gao, Jiahui Zou, Xinyu Zhang & Yanyuan Ma. (2023) Frequentist model averaging for envelope models. Scandinavian Journal of Statistics 50:3, pages 1325-1364.
Crossref
Crossref
Jianhua Hu, Jian Huang, Xiaoqian Liu & Xu Liu. (2023) Response best-subset selector for multivariate regression with high-dimensional response variables. Biometrika 110:1, pages 205-223.
Crossref
Crossref
Yanbo Shen, Yeonhee Park, Saptarshi Chakraborty & Chunming Zhang. (2023) Bayesian Simultaneous Partial Envelope Model with Application to an Imaging Genetics Analysis. The New England Journal of Statistics in Data Science, pages 237-269.
Crossref
Crossref
Xin Zhang, Kai Deng & Qing Mai. (2023) Envelopes and principal component regression. Electronic Journal of Statistics 17:2.
Crossref
Crossref
Daniel J. Eck. (2023) General model-free weighted envelope estimation. Electronic Journal of Statistics 17:1.
Crossref
Crossref
Qing Mai & Xin Zhang. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics
817
829
.
Wenxing Guo, Narayanaswamy Balakrishnan & Shanshan Qin. (2023) A modified partial envelope tensor response regression. Stat 12:1.
Crossref
Crossref
Yue Zhao, Ingrid Van Keilegom & Shanshan Ding. (2022) Envelopes for censored quantile regression. Scandinavian Journal of Statistics 49:4, pages 1562-1585.
Crossref
Crossref
Paul May, Matthew Biesecker & Hossein Moradi Rekabdarkolaee. (2022) Response envelopes for linear coregionalization models. Journal of Multivariate Analysis 192, pages 105015.
Crossref
Crossref
Yeonhee Park, Zhihua Su & Dongjun Chung. (2022) Envelope‐based partial partial least squares with application to cytokine‐based biomarker analysis for COVID‐19. Statistics in Medicine 41:23, pages 4578-4592.
Crossref
Crossref
Kai Deng & Xin Zhang. (2021) Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction. Biometrics 78:3, pages 1067-1079.
Crossref
Crossref
Yushen Dong & Yichao Wu. (2022) Fréchet kernel sliced inverse regression. Journal of Multivariate Analysis 191, pages 105032.
Crossref
Crossref
Subhabrata Majumdar & Snigdhansu Chatterjee. (2022) On weighted multivariate sign functions. Journal of Multivariate Analysis 191, pages 105013.
Crossref
Crossref
Karl Oskar Ekvall. (2022) Targeted principal components regression. Journal of Multivariate Analysis 190, pages 104995.
Crossref
Crossref
Lan Liu, Wei Li, Zhihua Su, Dennis Cook, Luca Vizioli & Essa Yacoub. (2021) Efficient estimation via envelope chain in magnetic resonance imaging‐based studies. Scandinavian Journal of Statistics 49:2, pages 481-501.
Crossref
Crossref
Jianhua Hu, Xiaoqian Liu, Xu Liu & Ningning Xia. (2022) Some aspects of response variable selection and estimation in multivariate linear regression. Journal of Multivariate Analysis 188, pages 104821.
Crossref
Crossref
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.
Crossref
Crossref
Linquan Ma, Lan Liu & Wei Yang. (2021) Envelope method with ignorable missing data. Electronic Journal of Statistics 15:2.
Crossref
Crossref
Minji Lee & Zhihua Su. (2020) A Review of Envelope Models. International Statistical Review 88:3, pages 658-676.
Crossref
Crossref
X Zhang, C E Lee & X Shao. (2020) Envelopes in multivariate regression models with nonlinearity and heteroscedasticity. Biometrika 107:4, pages 965-981.
Crossref
Crossref
Jia Zhang & Xin Chen. (2020) Principal envelope model. Journal of Statistical Planning and Inference 206, pages 249-262.
Crossref
Crossref
Leo L Duan, Alexander L Young, Akihiko Nishimura & David B Dunson. (2020) Bayesian constraint relaxation. Biometrika 107:1, pages 191-204.
Crossref
Crossref
Daniel J. Eck, Charles J. Geyer & R. Dennis Cook. (2020) Combining envelope methodology and aster models for variance reduction in life history analyses. Journal of Statistical Planning and Inference 205, pages 283-292.
Crossref
Crossref
R. Dennis Cook. (2019) Envelope methods. WIREs Computational Statistics 12:2.
Crossref
Crossref
Guangyu Zhu & Zhihua Su. (2020) Envelope-based sparse partial least squares. The Annals of Statistics 48:1.
Crossref
Crossref
Tuo Chen, Zhihua Su, Yi Yang & Shanshan Ding. (2020) Efficient estimation in expectile regression using envelope models. Electronic Journal of Statistics 14:1.
Crossref
Crossref
Wenjing Wang, Xin Zhang & Qing Mai. (2020) Model-based clustering with envelopes. Electronic Journal of Statistics 14:1.
Crossref
Crossref
Yuyang Shi, Linquan Ma & Lan Liu. (2020) Mixed effects envelope models. Stat 9:1.
Crossref
Crossref
Wenjing Wang, Xin Zhang & Lexin Li. (2019) Common Reducing Subspace Model and Network Alternation Analysis. Biometrics 75:4, pages 1109-1120.
Crossref
Crossref
Xin Zhang & Qing Mai. (2018) Efficient Integration of Sufficient Dimension Reduction and Prediction in Discriminant Analysis. Technometrics 61:2, pages 259-272.
Crossref
Crossref
Yashita Jain, Shanshan Ding & Jing Qiu. (2019) Sliced inverse regression for integrative multi-omics data analysis. Statistical Applications in Genetics and Molecular Biology 18:1.
Crossref
Crossref
R. Dennis Cook. 2018. An Introduction to Envelopes. An Introduction to Envelopes
273
282
.
Inge Svein Helland, Solve Sæbø, Trygve Almøy & Raju Rimal. (2018) Model and estimators for partial least squares regression. Journal of Chemometrics 32:9.
Crossref
Crossref
Raju Rimal, Trygve Almøy & Solve Sæbø. (2018) A tool for simulating multi-response linear model data. Chemometrics and Intelligent Laboratory Systems 176, pages 1-10.
Crossref
Crossref
R. Dennis Cook. (2018) Principal Components, Sufficient Dimension Reduction, and Envelopes. Annual Review of Statistics and Its Application 5:1, pages 533-559.
Crossref
Crossref
Xin Zhang & Qing Mai. (2018) Model-free envelope dimension selection. Electronic Journal of Statistics 12:2.
Crossref
Crossref
Xin Zhang, Chong Wang & Yichao Wu. (2018) Functional envelope for model-free sufficient dimension reduction. Journal of Multivariate Analysis 163, pages 37-50.
Crossref
Crossref
Yeonhee Park, Zhihua Su & Hongtu Zhu. (2017) Groupwise Envelope Models for Imaging Genetic Analysis. Biometrics 73:4, pages 1243-1253.
Crossref
Crossref
D. J. Eck & R. D. Cook. (2017) Weighted envelope estimation to handle variability in model selection. Biometrika 104:3, pages 743-749.
Crossref
Crossref
David J. OliveDavid J. Olive. 2017. Linear Regression. Linear Regression
163
173
.
David J. OliveDavid J. Olive. 2017. Linear Regression. Linear Regression
389
458
.
Z. Su, G. Zhu, X. Chen & Y. Yang. (2016) Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression. Biometrika 103:3, pages 579-593.
Crossref
Crossref
R. Dennis Cook, Liliana Forzani & Zhihua Su. (2016) A note on fast envelope estimation. Journal of Multivariate Analysis 150, pages 42-54.
Crossref
Crossref