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Projection correlation between two random vectors

Citations

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Cited by:

  1. Xiong, Wei & Zhang, Qinming, 2026. "ModeKoff: A unified modal-based variable screening method for high-dimensional data with FDR control," Computational Statistics & Data Analysis, Elsevier, vol. 222(C).
  2. Yingli Pan & Haoyu Wang & Zhan Liu, 2025. "Model free feature screening for large scale and ultrahigh dimensional survival data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(1), pages 155-190, February.
  3. Liu, Yixiao & Shang, Pengjian, 2026. "Differential distance correlation and its applications," Journal of Multivariate Analysis, Elsevier, vol. 214(C).
  4. Wei Liu & Wenbo Wu & Baoying Yang, 2026. "Feature Screening for High-Dimensional Data with Measurement Errors using Adjusted Martingale Difference Correlation," Statistical Papers, Springer, vol. 67(2), pages 1-49, April.
  5. Aythami Santana-Padrón & Casiano Manrique-de-Lara-Peñate & Lourdes Trujillo, 2026. "Using association rules to map vessel behaviour patterns and port relationships," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 28(3), pages 644-683, September.
  6. Xu Li & Bingcan Wang & Baoxue Zhang, 2026. "Testing for independence in high dimensions based on characteristic covariance," Statistical Papers, Springer, vol. 67(1), pages 1-28, February.
  7. Mirosław Krzyśko & Łukasz Smaga, 2024. "Application of distance standard deviation in functional data analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 18(2), pages 431-454, June.
  8. Tan, Weng Cheong & Saw, Lip Huat & Thiam, Hui San & Xuan, Jin & Cai, Zuansi & Yew, Ming Chian, 2018. "Overview of porous media/metal foam application in fuel cells and solar power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 181-197.
  9. Zhou, Yeqing & Liu, Jingyuan & Zhu, Liping, 2020. "Test for conditional independence with application to conditional screening," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
  10. Vakilifard, Negar & A. Bahri, Parisa & Anda, Martin & Ho, Goen, 2019. "An interactive planning model for sustainable urban water and energy supply," Applied Energy, Elsevier, vol. 235(C), pages 332-345.
  11. Gaigall, Daniel & Wu, Shunyao & Liang, Hua, 2025. "A general approach for testing independence in Hilbert spaces," Journal of Multivariate Analysis, Elsevier, vol. 206(C).
  12. Lai, Tingyu & Zhang, Zhongzhan & Wang, Yafei & Kong, Linglong, 2021. "Testing independence of functional variables by angle covariance," Journal of Multivariate Analysis, Elsevier, vol. 182(C).
  13. Zhang, Qingyang, 2019. "Independence test for large sparse contingency tables based on distance correlation," Statistics & Probability Letters, Elsevier, vol. 148(C), pages 17-22.
  14. Mordant, Gilles & Segers, Johan, 2022. "Measuring dependence between random vectors via optimal transport," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
  15. Liu, Jicai & Si, Yuefeng & Niu, Yong & Zhang, Riquan, 2022. "Projection quantile correlation and its use in high-dimensional grouped variable screening," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
  16. Cencheng Shen & Joshua T. Vogelstein, 2021. "The exact equivalence of distance and kernel methods in hypothesis testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 385-403, September.
  17. Wang, Li & Zhou, Hongyi & Ma, Weidong & Yang, Ying, 2025. "A conditional distribution function-based measure for independence and K-sample tests in multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 205(C).
  18. Hongjian Shi & Marc Hallin & Mathias Drton & Fang Han, 2020. "Rate-Optimality of Consistent Distribution-Free Tests of Independence Based on Center-Outward Ranks and Signs," Working Papers ECARES 2020-23, ULB -- Universite Libre de Bruxelles.
  19. L Weihs & M Drton & N Meinshausen, 2018. "Symmetric rank covariances: a generalized framework for nonparametric measures of dependence," Biometrika, Biometrika Trust, vol. 105(3), pages 547-562.
  20. Xu, Kai & Zhou, Yeqing, 2021. "Projection-averaging-based cumulative covariance and its use in goodness-of-fit testing for single-index models," Computational Statistics & Data Analysis, Elsevier, vol. 164(C).
  21. Juan Carlos Escanciano & Pedro H. C. Sant'Anna & Xiaojun Song, 2026. "Specification tests for generalised propensity scores using double projections," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 38(1), pages 177-213, January.
  22. Zhang, Xilin & Fan, Guoliang & Zhu, Liping, 2026. "Distance correlation in the presence of measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
  23. Fan, Jinlin & Zhang, Yaowu & Zhu, Liping, 2022. "Independence tests in the presence of measurement errors: An invariance law," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
  24. Zhang, Xilin & Xu, Hongxia & Fan, Guoliang & Zhu, Liping, 2026. "Conditional independence test in factor models via projection correlation," Computational Statistics & Data Analysis, Elsevier, vol. 218(C).
  25. Li, Zhimei & Ding, Tianxuan & Zhou, Tingyou & Zhang, Yaowu, 2025. "Enhanced HSIC for independence test via projection integration," Journal of Multivariate Analysis, Elsevier, vol. 210(C).
  26. Afendras, Georgios & Markatou, Marianthi & Papantonis, Nickos, 2026. "AUK-based test for mutual independence and an index of mutual dependence," Journal of Multivariate Analysis, Elsevier, vol. 214(C).
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