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Fabrizio Durante

Personal Details

First Name:Fabrizio
Middle Name:
Last Name:Durante
Suffix:
RePEc Short-ID:pdu282
[This author has chosen not to make the email address public]
http://sites.google.com/site/fbdurante/

Affiliation

Dipartimento di Scienze dell'Economia
Facoltà di Economia
Università del Salento

Lecce, Italy
http://www.dse.unisalento.it/

: 0832-298828
0832-298874
via per Monteroni - Complesso Ecotekne - 73100 Lecce
RePEc:edi:dslecit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Fabrizio Durante & Ostap Okhrin, 2014. "Estimation procedures for exchangeable Marshall copulas with hydrological application," SFB 649 Discussion Papers SFB649DP2014-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  2. Marta Disegna & Fabrizio Durante & Enrico Foscolo, 2013. "A multivariate nonlinear analysis of tourism expenditures," BEMPS - Bozen Economics & Management Paper Series BEMPS10, Faculty of Economics and Management at the Free University of Bozen.

Articles

  1. Bernardi, M. & Durante, F. & Jaworski, P., 2017. "CoVaR of families of copulas," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 8-17.
  2. Fabrizio Durante, 2017. "Educational Measurement for Applied Researchers Margaret Wu Hak Ping Tam and Tsung-Hau Jen Springer Nature Singapore Pte Ltd. , 2016 , xiv + 306 pages, £82.00, hardcover ISBN: 978-981-10-3300-1," International Statistical Review, International Statistical Institute, vol. 85(2), pages 372-373, August.
  3. Fabrizio Durante & Enrico Foscolo & Alex Weissensteiner, 2017. "Dependence between Stock Returns of Italian Banks and the Sovereign Risk," Econometrics, MDPI, Open Access Journal, vol. 5(2), pages 1-14, June.
  4. Navarro, Jorge & Durante, Fabrizio, 2017. "Copula-based representations for the reliability of the residual lifetimes of coherent systems with dependent components," Journal of Multivariate Analysis, Elsevier, vol. 158(C), pages 87-102.
  5. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2016. "Stat Trek," Dependence Modeling, De Gruyter Open, vol. 4(1), pages 109-122, May.
  6. Durante Fabrizio & Fernández-Sánchez Juan & Trutschnig Wolfgang, 2016. "Baire category results for quasi–copulas," Dependence Modeling, De Gruyter Open, vol. 4(1), pages 1-9, October.
  7. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2016. "Distributions with given marginals: the beginnings: An interview with Giorgio Dall’Aglio," Dependence Modeling, De Gruyter Open, vol. 4(1), pages 1-14, November.
  8. Fabrizio Durante, 2015. "Computational Actuarial Science with R," International Statistical Review, International Statistical Institute, vol. 83(3), pages 511-511, December.
  9. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2015. "Clustering of time series via non-parametric tail dependence estimation," Statistical Papers, Springer, vol. 56(3), pages 701-721, August.
  10. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias, 2015. "Building bridges between Mathematics, Insurance and Finance," Dependence Modeling, De Gruyter Open, vol. 3(1), pages 1-12, May.
  11. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias, 2015. "A Journey from Statistics and Probability to Risk Theory An interview with Ludger Rüschendorf," Dependence Modeling, De Gruyter Open, vol. 3(1), pages 1-14, October.
  12. Durante, Fabrizio & Fernández Sánchez, Juan & Trutschnig, Wolfgang, 2014. "Multivariate copulas with hairpin support," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 323-334.
  13. Fabrizio Durante, 2014. "The R Book, Second Edition by Michael J. Crawley," International Statistical Review, International Statistical Institute, vol. 82(1), pages 145-146, April.
  14. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2014. "Clustering of financial time series in risky scenarios," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(4), pages 359-376, December.
  15. Fabrizio Durante, 2014. "Advanced Risk Analysis in Engineering Enterprise Systems by Cesar Ariel Pinto, Paul R. Garvey," International Statistical Review, International Statistical Institute, vol. 82(1), pages 146-147, April.
  16. Fabrizio Durante, 2014. "The Skew-Normal and Related Families by Adelchi Azzalini," International Statistical Review, International Statistical Institute, vol. 82(3), pages 483-483, December.
  17. Durante Fabrizio & Fernández-Sánchez Juan & Trutschnig Wolfgang, 2014. "Solution to an open problem about a transformation on the space of copulas," Dependence Modeling, De Gruyter Open, vol. 2(1), pages 1-8, November.
  18. Fabrizio Durante, 2013. "Bridge to Abstract Mathematics by Ralph Oberste-Vorth, Aristides Mouzakitis, Bonita A. Lawrence," International Statistical Review, International Statistical Institute, vol. 81(2), pages 325-325, August.
  19. Durante, Fabrizio & Fernández Sánchez, Juan & Sempi, Carlo, 2013. "Multivariate patchwork copulas: A unified approach with applications to partial comonotonicity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 897-905.
  20. Fabrizio Durante, 2013. "New Perspectives in Statistical Modeling and Data Analysis: Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9–11,," International Statistical Review, International Statistical Institute, vol. 81(3), pages 460-461, December.
  21. Fabrizio Durante, 2013. "Simulating Copulas: Stochastic Models, Sampling Algorithms and Applications by Jan-Frederik Mai, Matthias Scherer, with contributions by Claudia Czado, Elke Korn, Ralf Korn, Jakob Stöber," International Statistical Review, International Statistical Institute, vol. 81(2), pages 307-307, August.
  22. Fabrizio Durante & Roberto Ghiselli-Ricci, 2012. "Supermigrative copulas and positive dependence," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 327-342, July.
  23. Durante, Fabrizio & Sánchez, Juan Fernández, 2012. "On the approximation of copulas via shuffles of Min," Statistics & Probability Letters, Elsevier, vol. 82(10), pages 1761-1767.
  24. Durante, Fabrizio & Jaworski, Piotr & Mesiar, Radko, 2011. "Invariant dependence structures and Archimedean copulas," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1995-2003.
  25. Fabrizio Durante & Pier Papini, 2010. "Non-exchangeability of negatively dependent random variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(2), pages 139-149, March.
  26. Durante, Fabrizio & Fernández-Sánchez, Juan, 2010. "Multivariate shuffles and approximation of copulas," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1827-1834, December.
  27. Fabrizio Durante & Erich Klement & Carlo Sempi & Manuel Úbeda-Flores, 2010. "Measures of non-exchangeability for bivariate random vectors," Statistical Papers, Springer, vol. 51(3), pages 687-699, September.
  28. Fabrizio Durante, 2009. "Construction of non-exchangeable bivariate distribution functions," Statistical Papers, Springer, vol. 50(2), pages 383-391, March.
  29. Durante, Fabrizio & Foschi, Rachele & Spizzichino, Fabio, 2008. "Threshold copulas and positive dependence," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 2902-2909, December.
  30. Fabrizio Durante & José Quesada-Molina & Carlo Sempi, 2007. "A Generalization of the Archimedean Class of Bivariate Copulas," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(3), pages 487-498, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fabrizio Durante & Ostap Okhrin, 2014. "Estimation procedures for exchangeable Marshall copulas with hydrological application," SFB 649 Discussion Papers SFB649DP2014-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Cuadras, Carles M., 2015. "Contributions to the diagonal expansion of a bivariate copula with continuous extensions," Journal of Multivariate Analysis, Elsevier, vol. 139(C), pages 28-44.
    2. Alghalith, Moawia, 2016. "Novel and simple non-parametric methods of estimating the joint and marginal densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 94-98.
    3. Alghalith, Moawia, 2017. "A new parametric method of estimating the joint probability density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 799-803.

Articles

  1. Bernardi, M. & Durante, F. & Jaworski, P., 2017. "CoVaR of families of copulas," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 8-17.

    Cited by:

    1. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2017. "Multiple risk measures for multivariate dynamic heavy–tailed models," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 1-32.

  2. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2015. "Clustering of time series via non-parametric tail dependence estimation," Statistical Papers, Springer, vol. 56(3), pages 701-721, August.

    Cited by:

    1. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Sep 2017.
    2. De Luca Giovanni & Zuccolotto Paola, 2017. "A double clustering algorithm for financial time series based on extreme events," Statistics & Risk Modeling, De Gruyter, vol. 34(1-2), pages 1-12, June.

  3. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2014. "Clustering of financial time series in risky scenarios," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(4), pages 359-376, December.

    Cited by:

    1. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2015. "Clustering of time series via non-parametric tail dependence estimation," Statistical Papers, Springer, vol. 56(3), pages 701-721, August.
    2. De Luca Giovanni & Zuccolotto Paola, 2017. "A double clustering algorithm for financial time series based on extreme events," Statistics & Risk Modeling, De Gruyter, vol. 34(1-2), pages 1-12, June.

  4. Durante, Fabrizio & Fernández Sánchez, Juan & Sempi, Carlo, 2013. "Multivariate patchwork copulas: A unified approach with applications to partial comonotonicity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 897-905.

    Cited by:

    1. Elena Di Bernardino & Didier Rullière, 2017. "A note on upper-patched generators for Archimedean copulas," Post-Print hal-01347869, HAL.
    2. Dietmar Pfeifer & Andreas Mandle & Olena Ragulina, 2017. "Data driven partition-of-unity copulas with applications to risk management," Papers 1703.05047, arXiv.org, revised Mar 2017.
    3. Su, Jianxi & Hua, Lei, 2017. "A general approach to full-range tail dependence copulas," Insurance: Mathematics and Economics, Elsevier, vol. 77(C), pages 49-64.
    4. Durante Fabrizio & Fernández-Sánchez Juan & Trutschnig Wolfgang, 2014. "Solution to an open problem about a transformation on the space of copulas," Dependence Modeling, De Gruyter Open, vol. 2(1), pages 1-8, November.
    5. Dietmar Pfeifer & Andreas Mandle & Olena Ragulina, 2017. "New copulas based on general partitions-of-unity and their applications to risk management (part II)," Papers 1709.07682, arXiv.org.

  5. Fabrizio Durante & Roberto Ghiselli-Ricci, 2012. "Supermigrative copulas and positive dependence," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 327-342, July.

    Cited by:

    1. Zalzadeh, Saeed & Pellerey, Franco, 2016. "A positive dependence notion based on componentwise unimodality of copulas," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 51-57.

  6. Durante, Fabrizio & Sánchez, Juan Fernández, 2012. "On the approximation of copulas via shuffles of Min," Statistics & Probability Letters, Elsevier, vol. 82(10), pages 1761-1767.

    Cited by:

    1. Carole Bernard & Oleg Bondarenko & Steven Vanduffel, 2018. "Rearrangement algorithm and maximum entropy," Annals of Operations Research, Springer, vol. 261(1), pages 107-134, February.
    2. Durante, Fabrizio & Fernández Sánchez, Juan & Sempi, Carlo, 2013. "Multivariate patchwork copulas: A unified approach with applications to partial comonotonicity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 897-905.
    3. Durante, Fabrizio & Fernández Sánchez, Juan & Trutschnig, Wolfgang, 2014. "Multivariate copulas with hairpin support," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 323-334.

  7. Durante, Fabrizio & Jaworski, Piotr & Mesiar, Radko, 2011. "Invariant dependence structures and Archimedean copulas," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1995-2003.

    Cited by:

    1. Bernardi, M. & Durante, F. & Jaworski, P., 2017. "CoVaR of families of copulas," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 8-17.
    2. Jaworski Piotr, 2017. "On Conditional Value at Risk (CoVaR) for tail-dependent copulas," Dependence Modeling, De Gruyter Open, vol. 5(1), pages 1-19, January.
    3. Jaworski, Piotr, 2015. "Univariate conditioning of vine copulas," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 89-103.

  8. Fabrizio Durante & Pier Papini, 2010. "Non-exchangeability of negatively dependent random variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(2), pages 139-149, March.

    Cited by:

    1. Papini Pier Luigi, 2015. "Bivariate copulas, norms and non-exchangeability," Dependence Modeling, De Gruyter Open, vol. 3(1), pages 1-7, November.
    2. Azam Dehgani & Ali Dolati & Manuel Úbeda-Flores, 2013. "Measures of radial asymmetry for bivariate random vectors," Statistical Papers, Springer, vol. 54(2), pages 271-286, May.

  9. Durante, Fabrizio & Fernández-Sánchez, Juan, 2010. "Multivariate shuffles and approximation of copulas," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1827-1834, December.

    Cited by:

    1. Durante, Fabrizio & Sánchez, Juan Fernández, 2012. "On the approximation of copulas via shuffles of Min," Statistics & Probability Letters, Elsevier, vol. 82(10), pages 1761-1767.
    2. Durante, Fabrizio & Fernández Sánchez, Juan & Sempi, Carlo, 2013. "Multivariate patchwork copulas: A unified approach with applications to partial comonotonicity," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 897-905.
    3. Harder, Michael & Stadtmüller, Ulrich, 2014. "Maximal non-exchangeability in dimension d," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 31-41.
    4. Dietmar Pfeifer & Andreas Mandle & Olena Ragulina, 2017. "New copulas based on general partitions-of-unity and their applications to risk management (part II)," Papers 1709.07682, arXiv.org.

  10. Fabrizio Durante & Erich Klement & Carlo Sempi & Manuel Úbeda-Flores, 2010. "Measures of non-exchangeability for bivariate random vectors," Statistical Papers, Springer, vol. 51(3), pages 687-699, September.

    Cited by:

    1. Pavel Krupskii, 2017. "Copula-based measures of reflection and permutation asymmetry and statistical tests," Statistical Papers, Springer, vol. 58(4), pages 1165-1187, December.
    2. J. Rosco & Harry Joe, 2013. "Measures of tail asymmetry for bivariate copulas," Statistical Papers, Springer, vol. 54(3), pages 709-726, August.
    3. Papini Pier Luigi, 2015. "Bivariate copulas, norms and non-exchangeability," Dependence Modeling, De Gruyter Open, vol. 3(1), pages 1-7, November.
    4. Arturo Erdely & José González-Barrios, 2010. "A nonparametric symmetry test for absolutely continuous bivariate copulas," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 541-565, November.
    5. Karl Siburg & Pavel Stoimenov, 2011. "Symmetry of functions and exchangeability of random variables," Statistical Papers, Springer, vol. 52(1), pages 1-15, February.
    6. Harder, Michael & Stadtmüller, Ulrich, 2014. "Maximal non-exchangeability in dimension d," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 31-41.
    7. Azam Dehgani & Ali Dolati & Manuel Úbeda-Flores, 2013. "Measures of radial asymmetry for bivariate random vectors," Statistical Papers, Springer, vol. 54(2), pages 271-286, May.
    8. Werner Hürlimann, 2017. "A comprehensive extension of the FGM copula," Statistical Papers, Springer, vol. 58(2), pages 373-392, June.

  11. Fabrizio Durante, 2009. "Construction of non-exchangeable bivariate distribution functions," Statistical Papers, Springer, vol. 50(2), pages 383-391, March.

    Cited by:

    1. Fabrizio Durante & Erich Klement & Carlo Sempi & Manuel Úbeda-Flores, 2010. "Measures of non-exchangeability for bivariate random vectors," Statistical Papers, Springer, vol. 51(3), pages 687-699, September.
    2. A. Dolati & M. Amini & S. Mirhosseini, 2014. "Dependence properties of bivariate distributions with proportional (reversed) hazards marginals," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(3), pages 333-347, April.
    3. Marra, Giampiero & Radice, Rosalba, 2017. "Bivariate copula additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 99-113.
    4. Elisa Perrone & Andreas Rappold & Werner G. Müller, 2017. "$$D_s$$ D s -optimality in copula models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 403-418, August.
    5. Fabrizio Durante & Ostap Okhrin, 2014. "Estimation procedures for exchangeable Marshall copulas with hydrological application," SFB 649 Discussion Papers SFB649DP2014-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Azam Dehgani & Ali Dolati & Manuel Úbeda-Flores, 2013. "Measures of radial asymmetry for bivariate random vectors," Statistical Papers, Springer, vol. 54(2), pages 271-286, May.
    7. Werner Hürlimann, 2017. "A comprehensive extension of the FGM copula," Statistical Papers, Springer, vol. 58(2), pages 373-392, June.

  12. Durante, Fabrizio & Foschi, Rachele & Spizzichino, Fabio, 2008. "Threshold copulas and positive dependence," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 2902-2909, December.

    Cited by:

    1. Zalzadeh, Saeed & Pellerey, Franco, 2016. "A positive dependence notion based on componentwise unimodality of copulas," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 51-57.
    2. Hashorva, Enkelejd & Jaworski, Piotr, 2012. "Gaussian approximation of conditional elliptical copulas," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 397-407.

  13. Fabrizio Durante & José Quesada-Molina & Carlo Sempi, 2007. "A Generalization of the Archimedean Class of Bivariate Copulas," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(3), pages 487-498, September.

    Cited by:

    1. Sabrina Mulinacci, 2015. "Archimedean-based Marshall-Olkin Distributions and Related Copula Functions," Papers 1502.01912, arXiv.org.
    2. Fabrizio Durante & Pier Papini, 2010. "Non-exchangeability of negatively dependent random variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(2), pages 139-149, March.
    3. Cerqueti, Roy & Lupi, Claudio, 2015. "Total positivity for a class of non-exchangeable copulas," Economics & Statistics Discussion Papers esdp15077, University of Molise, Dept. EGSeI.
    4. Xie, Jiehua & Lin, Feng & Yang, Jingping, 2017. "On a generalization of Archimedean copula family," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 121-129.
    5. Romera, Rosario & Molanes, Elisa M., 2008. "Copulas in finance and insurance," DES - Working Papers. Statistics and Econometrics. WS ws086321, Universidad Carlos III de Madrid. Departamento de Estadística.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (1) 2014-02-08
  2. NEP-ECM: Econometrics (1) 2014-02-08
  3. NEP-TUR: Tourism Economics (1) 2013-07-05

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