Copula-Based Measures of Multivariate Association
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[1] C. Spearman. The proof and measurement of association between two things. , 2015, International journal of epidemiology.
[2] Sandra Gaißer,et al. A multivariate version of Hoeffding's Phi-Square , 2010, J. Multivar. Anal..
[3] C. Genest,et al. Asymptotics of joint maxima for discontinuous random variables , 2010 .
[4] Christian Genest,et al. Spearman's footrule and Gini's gamma: a review with complements , 2010 .
[5] Fabrizio Durante,et al. Copula theory and its applications : proceedings of the workshop held in Warsaw, 25-26 September 2009 , 2010 .
[6] Taoufik Bouezmarni,et al. Asymptotic properties of the Bernstein density copula estimator for alpha-mixing data , 2010, J. Multivar. Anal..
[7] C. Sempi,et al. Copula Theory: An Introduction , 2010 .
[8] Aristidis K. Nikoloulopoulos,et al. Tail dependence functions and vine copulas , 2010, J. Multivar. Anal..
[9] Johan Segers,et al. Extreme-value copulas , 2009, 0911.1015.
[10] Christian Genest,et al. Analytical proofs of classical inequalities between Spearman's ρ and Kendall's τ , 2009 .
[11] Haijun Li,et al. Orthant tail dependence of multivariate extreme value distributions , 2009, J. Multivar. Anal..
[12] Jean-François Quessy,et al. Theoretical efficiency comparisons of independence tests based on multivariate versions of Spearman’s rho , 2009 .
[13] C. Klüppelberg,et al. Semi‐Parametric Models for the Multivariate Tail Dependence Function – the Asymptotically Dependent Case , 2008 .
[14] L. Haan,et al. Parametric tail copula estimation and model testing , 2008 .
[15] Haijun Li,et al. Tail dependence for multivariate t -copulas and its monotonicity , 2008 .
[16] Haijun Li,et al. Tail Dependence Comparison of Survival Marshall–Olkin Copulas , 2008 .
[17] K. Siburg,et al. A measure of mutual complete dependence , 2010 .
[18] M. D. Taylor. Multivariate measures of concordance , 2007 .
[19] C. Genest,et al. A Primer on Copulas for Count Data , 2007, ASTIN Bulletin.
[20] J. Segers,et al. A Method of Moments Estimator of Tail Dependence , 2007, 0710.2039.
[21] Friedrich Schmid,et al. Nonparametric inference on multivariate versions of Blomqvist’s beta and related measures of tail dependence , 2007 .
[22] Friedrich Schmid,et al. Multivariate conditional versions of Spearman's rho and related measures of tail dependence , 2007 .
[23] Javad Behboodian,et al. A multivariate version of Gini's rank association coefficient , 2007 .
[24] Johanna Nešlehová,et al. On rank correlation measures for non-continuous random variables , 2007 .
[25] Friedrich Schmid,et al. Multivariate Extensions of Spearman's Rho and Related Statistics , 2007 .
[26] C. Klüppelberg,et al. Estimating the tail dependence function of an elliptical distribution , 2007 .
[27] Maria L. Rizzo,et al. A multivariate nonparametric test of independence , 2006 .
[28] Gabriel Frahm. On the extremal dependence coefficient of multivariate distributions , 2006 .
[29] Rafael Schmidt,et al. Non‐parametric Estimation of Tail Dependence , 2006 .
[30] Manuel Úbeda-Flores,et al. On Measures of Multivariate Concordance , 2006 .
[31] L. Haan,et al. Extreme value theory : an introduction , 2006 .
[32] Manuel Úbeda-Flores. Multivariate versions of Blomqvist’s beta and Spearman’s footrule , 2005 .
[33] P. Embrechts,et al. Quantitative Risk Management: Concepts, Techniques, and Tools , 2005 .
[34] Kilani Ghoudi,et al. Extreme behaviour for bivariate elliptical distributions , 2005 .
[35] H. Tsukahara,et al. Semiparametric estimation in copula models , 2005 .
[36] R. Randles,et al. Multivariate Nonparametric Tests of Independence , 2005 .
[37] Markus Junker,et al. Estimating the tail-dependence coefficient: Properties and pitfalls , 2005 .
[38] Mhamed Mesfioui,et al. On the properties of some nonparametric concordance measures in the discrete case , 2005 .
[39] Helena Ferreira,et al. Measuring the extremal dependence , 2005 .
[40] Friedrich Schmid,et al. Nonparametric estimation of the lower tail dependence λ L in bivariate copulas , 2005 .
[41] Michel Denuit,et al. Constraints on concordance measures in bivariate discrete data , 2005 .
[42] Christian Genest,et al. Asymptotic local efficiency of Cramér–von Mises tests for multivariate independence , 2005, 0708.0485.
[43] B. Rémillard,et al. Test of independence and randomness based on the empirical copula process , 2004 .
[44] M. Wegkamp,et al. Weak Convergence of Empirical Copula Processes , 2004 .
[45] S. Satchell,et al. THE BERNSTEIN COPULA AND ITS APPLICATIONS TO MODELING AND APPROXIMATIONS OF MULTIVARIATE DISTRIBUTIONS , 2004, Econometric Theory.
[46] L. de Haan,et al. Bivariate tail estimation: dependence in asymptotic independence , 2004 .
[47] Manuel Úbeda-Flores,et al. A new class of bivariate copulas , 2004 .
[48] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[49] Philippe Lambert,et al. Improved rank-based dependence measures for categorical data , 2003 .
[50] Thorsten Rheinländer. Risk Management: Value at Risk and Beyond , 2003 .
[51] W. Härdle,et al. Statistical Tools for Finance and Insurance , 2003 .
[52] Yves Lepage,et al. Spearman's rho and Kendall's tau for multivariate data sets , 2003 .
[53] C. Genest,et al. Tests of serial independence based on Kendall's process , 2002 .
[54] F. Lindskog,et al. Multivariate extremes, aggregation and dependence in elliptical distributions , 2002, Advances in Applied Probability.
[55] Rafael Schmidt,et al. Tail dependence for elliptically contoured distributions , 2002, Math. Methods Oper. Res..
[56] R. Nelsen. Concordance and Copulas: A Survey , 2002 .
[57] Carles M. Cuadras,et al. Distributions With Given Marginals and Statistical Modelling , 2002 .
[58] P. Embrechts,et al. Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls , 2002 .
[59] José M. González-Barrios,et al. Multidimensional dependency measures , 2004 .
[60] Janet E. Heffernan. A Directory of Coefficients of Tail Dependence , 2000 .
[61] Janet E. Heffernan,et al. Dependence Measures for Extreme Value Analyses , 1999 .
[62] Song-xi Chen,et al. Beta kernel estimators for density functions , 1999 .
[63] Liang Peng. Estimation of the coefficient of tail dependence in bivariate extremes , 1999 .
[64] Igor Vajda,et al. Estimation of the Information by an Adaptive Partitioning of the Observation Space , 1999, IEEE Trans. Inf. Theory.
[65] R. Nelsen. An Introduction to Copulas , 1998 .
[66] H. Joe. Multivariate models and dependence concepts , 1998 .
[67] Roger B. Nelsen,et al. Concordance and Gini's measure of association , 1998 .
[68] K. Choi,et al. A multivariate version of kendall's τ , 1998 .
[69] Jonathan A. Tawn,et al. Modelling Dependence within Joint Tail Regions , 1997 .
[70] Bruno Rémillard,et al. On Kendall's Process , 1996 .
[71] José-Luis Guerrero-Cusumano. A Measure of Total Variability for the Multivariate t Distribution with Applications to Finance , 1996, Inf. Sci..
[72] José-Luis Guerrero-Cusumano. An Asymptotic Test of Independence for Multivariate t and Cauchy Random Variables with Applications , 1996, Inf. Sci..
[73] E. Regazzini,et al. On the asymptotic distribution of a general measure of monotone dependence , 1996 .
[74] Jon A. Wellner,et al. Weak Convergence and Empirical Processes: With Applications to Statistics , 1996 .
[75] A. Ledford,et al. Statistics for near independence in multivariate extreme values , 1996 .
[76] Roger B. Nelsen,et al. Nonparametric measures of multivariate association , 1996 .
[77] J. Hüsler,et al. Laws of Small Numbers: Extremes and Rare Events , 1994 .
[78] P. Hall,et al. On the estimation of entropy , 1993 .
[79] D. W. Scott. Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.
[80] Harry Joe,et al. Multivariate concordance , 1990 .
[81] H. Joe. Estimation of entropy and other functionals of a multivariate density , 1989 .
[82] H. Joe. Relative Entropy Measures of Multivariate Dependence , 1989 .
[83] H. Joe. Majorization, randomness and dependence for multivariate distributions , 1987 .
[84] P. Gaenssler,et al. Seminar on Empirical Processes , 1987 .
[85] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[86] C. Genest,et al. The Joy of Copulas: Bivariate Distributions with Uniform Marginals , 1986 .
[87] Christian Genest,et al. Copules archimédiennes et families de lois bidimensionnelles dont les marges sont données , 1986 .
[88] Marco Scarsini,et al. On measures of concordance , 1984 .
[89] B. Schweizer,et al. On Nonparametric Measures of Dependence for Random Variables , 1981 .
[90] E. Wolff. N-dimensional measures of dependence. , 1980 .
[91] F. Ruymgaart,et al. Asymptotic normality of multivariate linear rank statistics in the non-I.I.D. case , 1978 .
[92] J. Barra,et al. Recent Developments in Statistics , 1978 .
[93] Gary Simon. A nonparametric test of total independence based on Kendall's tau , 1977 .
[94] Gary Simon,et al. Multivariate Generalization of Kendall's Tau with Application to Data Reduction , 1977 .
[95] Ludger Rüschendorf,et al. Asymptotic Distributions of Multivariate Rank Order Statistics , 1976 .
[96] Corrado Gini. L'ammontare e la Composizione Della Ricchezza Delle Nazioni , 1963 .
[97] H. O. Lancaster. Correlation and Complete Dependence of Random Variables , 1963 .
[98] J. Kiefer,et al. DISTRIBUTION FREE TESTS OF INDEPENDENCE BASED ON THE SAMPLE DISTRIBUTION FUNCTION , 1961 .
[99] Masaaki Sibuya,et al. Bivariate extreme statistics, I , 1960 .
[100] A. Rényi. On measures of dependence , 1959 .
[101] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[102] Nils Blomqvist,et al. On a Measure of Dependence Between two Random Variables , 1950 .
[103] Maurice G. Kendall,et al. Rank Correlation Methods , 1949 .
[104] W. Hoeffding. A Non-Parametric Test of Independence , 1948 .
[105] Wassilij Höffding,et al. Stochastische Abhängigkeit und funktionaler Zusammenhang , 1942 .
[106] M. Kendall. A NEW MEASURE OF RANK CORRELATION , 1938 .