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A New Coefficient of Correlation

Citations

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Cited by:

  1. Álvarez, Emiliano & Brida, Juan Gabriel & Moreno, Leonardo & Sosa, Andrés, 2025. "Comprehensive analysis of the crypto-assets market through multivariate analysis, clustering, and wavelet decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 660(C).
  2. Feng, Junlong & Lee, Sokbae, 2025. "Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds," Journal of Econometrics, Elsevier, vol. 247(C).
  3. Wang, Ya & Fang, Linjiajie & Jing, Bingyi, 2024. "Adapted Chatterjee correlation coefficient," Statistics & Probability Letters, Elsevier, vol. 215(C).
  4. H Shi & M Drton & F Han, 2022. "On the power of Chatterjee’s rank correlation [Adaptive test of independence based on HSIC measures]," Biometrika, Biometrika Trust, vol. 109(2), pages 317-333.
  5. Li-Pang Chen, 2022. "Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-25, September.
  6. Mauricio Olivares & Tomasz Olma & Daniel Wilhelm, 2025. "A Powerful Bootstrap Test of Independence in High Dimensions," Papers 2503.21715, arXiv.org, revised Apr 2025.
  7. Jin Han & Liang Yang, 2024. "Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation," Mathematics, MDPI, vol. 12(24), pages 1-20, December.
  8. Juan C. King & Roberto Dale & Jos'e M. Amig'o, 2024. "Blockchain Metrics and Indicators in Cryptocurrency Trading," Papers 2403.00770, arXiv.org.
  9. Karch, Julian D. & Perez-Alonso, Andres F. & Bergsma, Wicher P., 2024. "Beyond Pearson’s correlation: modern nonparametric independence tests for psychological research," LSE Research Online Documents on Economics 124587, London School of Economics and Political Science, LSE Library.
  10. Zhang, Qingyang, 2023. "On the asymptotic null distribution of the symmetrized Chatterjee’s correlation coefficient," Statistics & Probability Letters, Elsevier, vol. 194(C).
  11. Borgonovo, Emanuele & Plischke, Elmar & Rabitti, Giovanni, 2024. "The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective," European Journal of Operational Research, Elsevier, vol. 318(3), pages 911-926.
  12. Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
  13. Tan Shaojie & Arshad Abd Samad & Lilliati Ismail, 2024. "The Influence of Meta-Cognitive Listening Strategies on Listening Performance in the MALL: The Mediation Effect of Learning Style and Self-Efficacy," SAGE Open, , vol. 14(2), pages 21582440241, May.
  14. Qingyang Zhang, 2024. "Asymptotic expected sensitivity function and its applications to measures of monotone association," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 76(5), pages 877-896, October.
  15. Borgonovo, Emanuele & Ghidini, Valentina & Hahn, Roman & Plischke, Elmar, 2023. "Explaining classifiers with measures of statistical association," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
  16. De Keyser, Steven & Gijbels, Irène, 2025. "High-dimensional copula-based Wasserstein dependence," Computational Statistics & Data Analysis, Elsevier, vol. 204(C).
  17. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
  18. Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.
  19. Almanza Junco, Carlos Alberto & Parra Acosta, Yenny Katherine & Sabogal Salamanca, Mauricio, 2024. "Model of innovation in agriculture 4.0 processes in the department of Cundinamarca, Colombia," Revista Tendencias, Universidad de Narino, vol. 25(2), pages 86-112, July.
  20. Keyao Wang & Huiwen Wang & Shanshan Wang & Lihong Wang, 2024. "Variable selection for multivariate functional data via conditional correlation learning," Computational Statistics, Springer, vol. 39(4), pages 2375-2412, June.
  21. King, Juan C. & Dale, Roberto & Amigó, José M., 2024. "Blockchain metrics and indicators in cryptocurrency trading," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
  22. Tobias Fissler & Marc-Oliver Pohle, 2023. "Generalised Covariances and Correlations," Papers 2307.03594, arXiv.org, revised Sep 2023.
  23. Zhexiao Lin & Fang Han, 2023. "On the failure of the bootstrap for Chatterjee's rank correlation," Papers 2303.14088, arXiv.org, revised Apr 2023.
  24. 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).
  25. Liqi Xia & Ruiyuan Cao & Jiang Du & Jun Dai, 2025. "Consistent complete independence test in high dimensions based on Chatterjee correlation coefficient," Statistical Papers, Springer, vol. 66(1), pages 1-32, January.
  26. Borgonovo, Emanuele & Clemente, Gian Paolo & Rabitti, Giovanni, 2024. "Why insurance regulators need to require sensitivity settings of internal models for their approval," Finance Research Letters, Elsevier, vol. 60(C).
  27. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
  28. Zhaoyang Li & Yuehan Yang, 2024. "A semi-orthogonal nonnegative matrix tri-factorization algorithm for overlapping community detection," Statistical Papers, Springer, vol. 65(6), pages 3601-3619, August.
  29. Abdol Rassoul Zarei & Marzieh Mokarram & Mohammad Reza Mahmoudi, 2023. "Comparison of the capability of the Meteorological and Remote Sensing Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 769-796, January.
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