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A New Measure of Monotone Dependence by Using Sobolev Norms for Copula

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9376))

Abstract

Dependence structure, e.g. measures of dependence, is one of the main studies in correlation analysis. In [10], B. Schweizer and E.F. Wolff used L\(^{p}\)-metric \(d_{L^{p}}(C,P)\) to obtain a measure of monotone dependence where P is the product copula or independent copula, and in [11] P. A. Stoimenov defined Sobolev metric \(d_{S}(C,P)\) to construct the measure \(\omega (C)\) for a class of Mutual Complete Dependences (MCDs). Due to the fact that the class of monotone dependence is contained in the class of MCDs, we constructed a new measure of monotone dependence, \(\lambda (C),\) based on Sobolev metric which can be used to characterize comonotonic, countermonotonic and independence.

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References

  1. Cherubini, U., Luciano, E., Vecchiato, W.: Copula Methods in Finance. John Wiley & Sons Ltd., Chichester (2004)

    Book  MATH  Google Scholar 

  2. Darsow, W.F., Nguyen, B., Olsen, E.T.: Copulas and Markov Processes. Illinois J. Math. 36(4), 600–642 (1992)

    MathSciNet  MATH  Google Scholar 

  3. Darsow, W.F., Olsen, E.T.: Norms for Copulas. Internat. J. Math. and Math. Sci. 18(3), 417–436 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  4. Joe, H.: Multivariate Models and Dependence Concepts. Chapman & Hall/CRC, London (1997)

    Book  MATH  Google Scholar 

  5. Kimeldorf, G., Sampson, A.R.: Monotone Dependence. Ann. Statist. 6(4), 895–903 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  6. Mari, D.D., Kotz, S.: Correlation and Dependence. World Scientific Publishing Co. Pte. Ltd., Singapore (2004)

    MATH  Google Scholar 

  7. Nelsen, R.B.: An Introduction to Copulas, 2nd edn. Springer, New York (2006)

    MATH  Google Scholar 

  8. Nguyen, T.H.: A Copula Approach to Model Validation. IJITAS 4(4), 531–547 (2011)

    Google Scholar 

  9. Scarsini, M.: On Measure of Concordance. Stochastica 8(3), 201–218 (1984)

    MathSciNet  MATH  Google Scholar 

  10. Schweizer, B., Wolff, E.F.: On Nonparametric Measures of Dependence for random Variables. Ann. Stat. 9(4), 879–885 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  11. Stoimenov, P.A.: A Measure of Mutual Complete Dependence. Ph.D. Thesis, TU Dormund (2008)

    Google Scholar 

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Correspondence to Hien D. Tran .

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Tran, H.D., Pham, U.H., Ly, S., Vo-Duy, T. (2015). A New Measure of Monotone Dependence by Using Sobolev Norms for Copula. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-25135-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25134-9

  • Online ISBN: 978-3-319-25135-6

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