Free Access
Volume 642, October 2020
Article Number A156
Number of page(s) 10
Section Numerical methods and codes
Published online 15 October 2020
  1. Aas, K., Czado, C., Frigessi, A., & Bakken, H. 2009, Insurance: Math. Econ., 44, 182 [CrossRef] [Google Scholar]
  2. Andreani, P., Spinoglio, L., Boselli, A., et al. 2014, A&A, 566, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Andreani, P., Boselli, A., Ciesla, L., et al. 2018, A&A, 617, A33 [CrossRef] [EDP Sciences] [Google Scholar]
  4. Andreani, P., Miyamoto, Y., Kaneko, H., et al. 2020, A&A, submitted [arXiv:2008.11134] [Google Scholar]
  5. Balakrishnan, N., & Lai, C. D. 2010, Continuous Bivariate Distributions (New York: Springer) [Google Scholar]
  6. Boselli, A., Eales, S., Cortese, L., et al. 2010, PASP, 122, 261 [NASA ADS] [CrossRef] [Google Scholar]
  7. Burnham, K. P., & Anderson, D. R. 2002, Model Selection and Multimodel Inference (New York: Springer) [Google Scholar]
  8. Czado, C. 2019, Analyzing Dependent Data with Vine Copulas (New York: Springer) [CrossRef] [Google Scholar]
  9. Dissmann, J., Brechmann, E. C., Czado, C., & Kurowicka, D. 2013, Comput. Stat. Data Anal., 59, 52 [CrossRef] [Google Scholar]
  10. Durante, F., & Sempi, C. 2016, Principles of Copula Theory (New York: CRC Press) [Google Scholar]
  11. Hofert, M., Kojadinovic, I., Mächler, M., & Yan, J. 2018, Elements of Copula Modeling with R (New York: Springer) [CrossRef] [Google Scholar]
  12. Joe, H. 1997, Multivariate Models and Dependence Concepts (Dordrecht: Springer-Science+Business Media) [CrossRef] [Google Scholar]
  13. Joe, H. 2015, Dependence Modeling with Copulas (New York: CRC Press) [Google Scholar]
  14. Karian, Z. A., & Dudewicz, E. J. 2011, Handbook of Fitting Statistical Distributions with R (New York: CRC Press) [Google Scholar]
  15. Kotz, S., Balakrishnan, N., & Johnson, N. L. 2000, Continuous Multivariate Distributions (New York: John Wiley & Sons, Inc.), 1 [CrossRef] [Google Scholar]
  16. Lin, C. A., & Kilbinger, M. 2015, A&A, 583, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Lin, C. A., Kilbinger, M., & Pires, S. 2016, A&A, 593, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Nagler, T., & Czado, C. 2016, J. Multivariate Anal., 151, 69 [CrossRef] [Google Scholar]
  19. Nagler, T., Schellhase, C., & Czado, C. 2017, Depend. Model., 5, 99 [CrossRef] [Google Scholar]
  20. Nagler, T., Schepsmeier, U., Stoeber, J., et al. 2019, VineCopula: Statistical Inference of Vine Copulas. R package version 2.3.0, [Google Scholar]
  21. Nelsen, R. B. 2006, An Introduction to Copulas (New York: Springer Science + BusinessMedia, Inc.) [Google Scholar]
  22. Sato, M., Ichiki, K., & Takeuchi, T. 2010, Phys. Rev. Lett., 105, 251301 [NASA ADS] [CrossRef] [Google Scholar]
  23. Sato, M., Ichiki, K., & Takeuchi, T. 2011, Phys. Rev. D, 83, 023501 [NASA ADS] [CrossRef] [Google Scholar]
  24. Schepsmeier, U., & Stöber, J. 2013, Stat. Pap., 55, 525 [CrossRef] [Google Scholar]
  25. Scherrer, R. J., Berlind, A. A., Mao, Q., & McBride, C. K. 2010, AJ, 708, L9 [NASA ADS] [CrossRef] [Google Scholar]
  26. Takeuchi, T. T. 2010, MNRAS, 406, 1830 [NASA ADS] [Google Scholar]
  27. Takeuchi, T. T., Sakurai, A., Yuan, F. T., & Burgarella, D. 2011, Earth Planet Space, 65, 281 [CrossRef] [Google Scholar]
  28. Vio, R., Fasano, G., Lazzarin, M., & Lessi, O. 1994, A&A, 289, 640 [NASA ADS] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.