A Matrix Iteration Algorithm With Pruning for Pinpointing Multivariate Correlations From High Dimensional Data Sets
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[1] Maria L. Rizzo,et al. Brownian distance covariance , 2009, 1010.0297.
[2] J. Friedman,et al. Estimating Optimal Transformations for Multiple Regression and Correlation. , 1985 .
[3] Malka Gorfine,et al. Consistent Distribution-Free $K$-Sample and Independence Tests for Univariate Random Variables , 2014, J. Mach. Learn. Res..
[4] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] David N. Reshef,et al. An empirical study of the maximal and total information coefficients and leading measures of dependence , 2018 .
[6] Davide Albanese,et al. A practical tool for maximal information coefficient analysis , 2017, bioRxiv.
[7] Michael Mitzenmacher,et al. Equitability Analysis of the Maximal Information Coefficient, with Comparisons , 2013, ArXiv.
[8] Kenji Fukumizu,et al. Equivalence of distance-based and RKHS-based statistics in hypothesis testing , 2012, ArXiv.
[9] Chunxiao Jiang,et al. Information Security in Big Data: Privacy and Data Mining , 2014, IEEE Access.
[10] R. Heller,et al. A consistent multivariate test of association based on ranks of distances , 2012, 1201.3522.
[11] Tamás F. Móri,et al. Four simple axioms of dependence measures , 2018, Metrika.
[12] Geoffrey J. Goodhill,et al. Limitations to Estimating Mutual Information in Large Neural Populations , 2020, Entropy.
[13] Uri Erez,et al. On the Importance of Asymmetry and Monotonicity Constraints in Maximal Correlation Analysis , 2019, 2019 IEEE International Symposium on Information Theory (ISIT).
[14] Keping Li,et al. Identifying multi-variable relationships based on the maximal information coefficient , 2017, Intell. Data Anal..
[15] Johan Segers,et al. Multivariate generalized Pareto distributions: Parametrizations, representations, and properties , 2017, J. Multivar. Anal..
[16] Ann. Probab. Distance Covariance in Metric Spaces , 2017 .
[17] Michael Mitzenmacher,et al. Detecting Novel Associations in Large Data Sets , 2011, Science.
[18] Olha Buchel,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .
[19] Klemens Böhm,et al. Multivariate Maximal Correlation Analysis , 2014, ICML.
[20] Dong Wang,et al. The big data analysis of rail equipment accidents based on the maximal information coefficient , 2020, Journal of Transportation Safety & Security.
[21] Bernhard Schölkopf,et al. The Randomized Dependence Coefficient , 2013, NIPS.
[22] Reza Modarres,et al. Measures of Dependence , 2011, International Encyclopedia of Statistical Science.
[23] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[24] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[25] Keping Li,et al. Railway accidents analysis based on the improved algorithm of the maximal information coefficient , 2016, Intell. Data Anal..