Interpoint-ranking sign covariance for the test of independence
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[1] Kai Xu,et al. Power Analysis of Projection-Pursuit Independence Tests , 2022 .
[2] Heping Zhang,et al. Ball Covariance: A Generic Measure of Dependence in Banach Space , 2019, Journal of the American Statistical Association.
[3] A. P. Masucci,et al. Random planar graphs and the London street network , 2009, 0903.5440.
[4] Carey E. Priebe,et al. From Distance Correlation to Multiscale Graph Correlation , 2017, Journal of the American Statistical Association.
[5] N. Mantel. The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.
[6] R. Tibshirani,et al. Prediction by Supervised Principal Components , 2006 .
[7] Geert Molenberghs,et al. European Surveillance of Antimicrobial Consumption (ESAC): outpatient quinolone use in Europe (1997-2009). , 2011, The Journal of antimicrobial chemotherapy.
[8] Raymond K. W. Wong,et al. Partially Linear Functional Additive Models for Multivariate Functional Data , 2018, Journal of the American Statistical Association.
[9] Maria L. Rizzo,et al. Measuring and testing dependence by correlation of distances , 2007, 0803.4101.
[10] Wicher P. Bergsma,et al. A study of the power and robustness of a new test for independence against contiguous alternatives , 2016 .
[11] N. Meinshausen,et al. Symmetric rank covariances: a generalized framework for nonparametric measures of dependence , 2017, Biometrika.
[12] L. Wasserman,et al. Robust multivariate nonparametric tests via projection averaging , 2018 .
[13] Anil K. Ghosh,et al. On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions , 2016 .
[14] Hans-Georg Müller,et al. Quantifying Infinite-Dimensional Data: Functional Data Analysis in Action , 2017 .
[15] R. Heller,et al. A consistent multivariate test of association based on ranks of distances , 2012, 1201.3522.
[16] J. Friedman,et al. Graph-Theoretic Measures of Multivariate Association and Prediction , 1983 .
[17] C. Spearman. The proof and measurement of association between two things. , 2015, International journal of epidemiology.
[18] M. Drton,et al. Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs , 2019, Journal of the American Statistical Association.
[19] Bodhisattva Sen,et al. Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation , 2019, Journal of the American Statistical Association.
[20] R. Modarres,et al. Nonparametric tests of independence based on interpoint distances , 2020 .
[21] W. Hoeffding. A Non-Parametric Test of Independence , 1948 .
[22] Yu Zheng,et al. Trajectory Data Mining , 2015, ACM Trans. Intell. Syst. Technol..
[23] Ing Rj Ser. Approximation Theorems of Mathematical Statistics , 1980 .
[25] R. Tibshirani,et al. Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data , 2004, PLoS biology.
[26] J. Nash. The imbedding problem for Riemannian manifolds , 1956 .
[27] Ruth Heller,et al. Multivariate tests of association based on univariate tests , 2016, NIPS.
[28] S. L. Free,et al. Landmark-Based Morphometrics of the Normal Adult Brain Using MRI , 2001, NeuroImage.
[29] Anil K. Ghosh,et al. Some Multivariate Tests of Independence Based on Ranks of Nearest Neighbors , 2018, Technometrics.
[30] J. Kiefer,et al. DISTRIBUTION FREE TESTS OF INDEPENDENCE BASED ON THE SAMPLE DISTRIBUTION FUNCTION , 1961 .
[31] Arnoldo Frigessi,et al. BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm305 Gene expression Predicting survival from microarray data—a comparative study , 2022 .
[32] Gábor J. Székely,et al. The distance correlation t-test of independence in high dimension , 2013, J. Multivar. Anal..
[33] C. Spearman. The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.
[34] Herman Goossens,et al. European Surveillance of Antimicrobial Consumption (ESAC): outpatient quinolone use in Europe. , 2006, The Journal of antimicrobial chemotherapy.
[35] John R. Williams,et al. The EPIC crop growth model , 1989 .
[36] Thomas B. Berrett,et al. Nonparametric independence testing via mutual information , 2017, Biometrika.
[37] K. Pearson. VII. Note on regression and inheritance in the case of two parents , 1895, Proceedings of the Royal Society of London.
[38] M. Drton,et al. High dimensional independence testing with maxima of rank correlations , 2018 .
[39] Kenji Fukumizu,et al. Equivalence of distance-based and RKHS-based statistics in hypothesis testing , 2012, ArXiv.
[40] Runze Li,et al. Projection correlation between two random vectors , 2017, Biometrika.
[41] L. Staudt,et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. , 2002, The New England journal of medicine.
[42] Mathias Drton,et al. Testing mutual independence in high dimensions with sums of squares of rank correlations , 2015, 1501.01732.
[43] Luca Weihs,et al. Large-Sample Theory for the Bergsma-Dassios Sign Covariance , 2016, 1602.04387.
[44] Hans-Georg Muller,et al. Principal component analysis for functional data on Riemannian manifolds and spheres , 2017, The Annals of Statistics.
[45] Ioannis Kontoyiannis,et al. Optimal rates for independence testing via U-statistic permutation tests , 2020, The Annals of Statistics.
[46] Le Song,et al. A Kernel Statistical Test of Independence , 2007, NIPS.
[47] Jane-Ling Wang,et al. Stringing High-Dimensional Data for Functional Analysis , 2011 .
[48] R. Lyons. Distance covariance in metric spaces , 2011, 1106.5758.
[49] C. Kuratowski. Quelques problèmes concernant les espaces métriques non-séparables , 1935 .
[50] R. Heller,et al. Computing the Bergsma Dassios sign-covariance , 2016, 1605.08732.
[51] M. Kendall. A NEW MEASURE OF RANK CORRELATION , 1938 .
[52] Wicher P. Bergsma,et al. A consistent test of independence based on a sign covariance related to Kendall's tau , 2010, 1007.4259.
[53] Xiaofeng Shao,et al. Distance-based and RKHS-based dependence metrics in high dimension , 2019, 1902.03291.
[54] Bernhard Schölkopf,et al. Measuring Statistical Dependence with Hilbert-Schmidt Norms , 2005, ALT.
[55] Ann. Probab. Distance Covariance in Metric Spaces , 2017 .
[56] Chaim Even-Zohar,et al. Counting Small Permutation Patterns , 2019, SODA.