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A New Coefficient of Correlation
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Cited by:
- Feng, Junlong & Lee, Sokbae, 2025.
"Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds,"
Journal of Econometrics, Elsevier, vol. 247(C).
- Junlong Feng & Sokbae Lee, 2023. "Individual Welfare Analysis: Random Quasilinear Utility, Independence, and Confidence Bounds," Papers 2304.01921, arXiv.org, revised Nov 2024.
- Junlong Feng & Sokbae (Simon) Lee, 2024. "Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds," CeMMAP working papers 25/24, Institute for Fiscal Studies.
- Wang, Ya & Fang, Linjiajie & Jing, Bingyi, 2024. "Adapted Chatterjee correlation coefficient," Statistics & Probability Letters, Elsevier, vol. 215(C).
- 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.
- 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.
- Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.
- Mauricio Olivares & Tomasz Olma & Daniel Wilhelm, 2025. "A Powerful Bootstrap Test of Independence in High Dimensions," Papers 2503.21715, arXiv.org, revised Apr 2025.
- 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.
- 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.
- Juan C. King & Roberto Dale & Jos'e M. Amig'o, 2024. "Blockchain Metrics and Indicators in Cryptocurrency Trading," Papers 2403.00770, arXiv.org.
- 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.
- King, Juan C. & Dale, Roberto & Amigó, José M., 2024. "Blockchain metrics and indicators in cryptocurrency trading," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
- 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.
- Tobias Fissler & Marc-Oliver Pohle, 2023. "Generalised Covariances and Correlations," Papers 2307.03594, arXiv.org, revised Sep 2023.
- Zhang, Qingyang, 2023. "On the asymptotic null distribution of the symmetrized Chatterjee’s correlation coefficient," Statistics & Probability Letters, Elsevier, vol. 194(C).
- Zhexiao Lin & Fang Han, 2023. "On the failure of the bootstrap for Chatterjee's rank correlation," Papers 2303.14088, arXiv.org, revised Apr 2023.
- 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.
- 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).
- 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.
- 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).
- Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
- 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.
- Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
- 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.
- 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.
- Borgonovo, Emanuele & Ghidini, Valentina & Hahn, Roman & Plischke, Elmar, 2023. "Explaining classifiers with measures of statistical association," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
- 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.
- De Keyser, Steven & Gijbels, Irène, 2025. "High-dimensional copula-based Wasserstein dependence," Computational Statistics & Data Analysis, Elsevier, vol. 204(C).