Likelihood inference for Archimedean copulas in high dimensions under known margins
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DOI: 10.1016/j.jmva.2012.02.019
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Cited by:
- Hofert, Marius & Pham, David, 2013. "Densities of nested Archimedean copulas," Journal of Multivariate Analysis, Elsevier, vol. 118(C), pages 37-52.
- Jens Stange & Taras Bodnar & Thorsten Dickhaus, 2015. "Uncertainty quantification for the family-wise error rate in multivariate copula models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(3), pages 281-310, July.
- Chaoubi, Ihsan & Cossette, Hélène & Marceau, Etienne & Robert, Christian Y., 2021. "Hierarchical copulas with Archimedean blocks and asymmetric between-block pairs," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
- Peters, Gareth W. & Dong, Alice X.D. & Kohn, Robert, 2014.
"A copula based Bayesian approach for paid–incurred claims models for non-life insurance reserving,"
Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 258-278.
- Gareth W. Peters & Alice X. D. Dong & Robert Kohn, 2012. "A Copula Based Bayesian Approach for Paid-Incurred Claims Models for Non-Life Insurance Reserving," Papers 1210.3849, arXiv.org, revised Dec 2012.
- Cossette, Hélène & Marceau, Etienne & Mtalai, Itre & Veilleux, Déry, 2018. "Dependent risk models with Archimedean copulas: A computational strategy based on common mixtures and applications," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 53-71.
- Cooray Kahadawala, 2018. "Strictly Archimedean copulas with complete association for multivariate dependence based on the Clayton family," Dependence Modeling, De Gruyter, vol. 6(1), pages 1-18, February.
- Di Bernardino Elena & Rullière Didier, 2013.
"On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators,"
Dependence Modeling, De Gruyter, vol. 1, pages 1-36, October.
- Elena Di Bernardino & Didier Rullière, 2013. "On certain transformation of Archimedean copulas: Application to the non-parametric estimation of their generators," Post-Print hal-00834000, HAL.
- Woraphon Yamaka & Rangan Gupta & Sukrit Thongkairat & Paravee Maneejuk, 2023.
"Structural and predictive analyses with a mixed copula‐based vector autoregression model,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 223-239, March.
- Woraphon Yamaka & Rangan Gupta & Sukrit Thongkairat & Paravee Maneejuk, 2021. "Structural and Predictive Analyses with a Mixed Copula-Based Vector Autoregression Model," Working Papers 202108, University of Pretoria, Department of Economics.
- Włodzimierz Wysocki, 2015. "Kendall's tau and Spearman's rho for n -dimensional Archimedean copulas and their asymptotic properties," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(4), pages 442-459, December.
- Zhang, Kong-Sheng & Lin, Jin-Guan & Xu, Pei-Rong, 2016. "A new class of copulas involving geometric distribution: Estimation and applications," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 1-10.
- Amjad, Muhammad & Akbar, Muhammad & Ullah, Hamd, 2022. "A copula-based approach for creating an index of micronutrient intakes at household level in Pakistan," Economics & Human Biology, Elsevier, vol. 46(C).
- Balak, Sima & Behzadi, Mohammad Hassan & Nazari, Ali, 2021. "Stochastic copula-DEA model based on the dependence structure of stochastic variables: An application to twenty bank branches," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 326-341.
- Brechmann, Eike C. & Hendrich, Katharina & Czado, Claudia, 2013. "Conditional copula simulation for systemic risk stress testing," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 722-732.
- Hofert, Marius, 2021. "Right-truncated Archimedean and related copulas," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 79-91.
- Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.
- Hofert, Marius & Vrins, Frédéric, 2013.
"Sibuya copulas,"
Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 318-337.
- Marius Hofert & Frederic Vrins, 2010. "Sibuya copulas," Papers 1008.2292, arXiv.org.
- Hofert, Marius & Vrins, Frédéric, 2013. "Sibuya copulas," LIDAM Reprints LFIN 2013003, Université catholique de Louvain, Louvain Finance (LFIN).
- Stanislav Anatolyev & Vladimir Pyrlik, 2021. "Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions," CERGE-EI Working Papers wp699, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Matthew Ames & Guillaume Bagnarosa & Gareth W. Peters, 2013. "Reinvestigating the Uncovered Interest Rate Parity Puzzle via Analysis of Multivariate Tail Dependence in Currency Carry Trades," Papers 1303.4314, arXiv.org, revised Jan 2014.
- Hofert, Marius & Huser, Raphaël & Prasad, Avinash, 2018. "Hierarchical Archimax copulas," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 195-211.
- Ames, Matthew & Bagnarosa, Guillaume & Peters, Gareth W., 2017. "Violations of uncovered interest rate parity and international exchange rate dependences," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 162-187.
- Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
- Ulf Schepsmeier & Jakob Stöber, 2014. "Derivatives and Fisher information of bivariate copulas," Statistical Papers, Springer, vol. 55(2), pages 525-542, May.
- Holzer, Jorge & Olson, Lars J., 2021. "Precautionary buffers and stochastic dependence in environmental policy," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
- Schepsmeier, Ulf, 2015. "Efficient information based goodness-of-fit tests for vine copula models with fixed margins: A comprehensive review," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 34-52.
- Mai Jan-Frederik & Scherer Matthias, 2013. "What makes dependence modeling challenging? Pitfalls and ways to circumvent them," Statistics & Risk Modeling, De Gruyter, vol. 30(4), pages 287-306, December.
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Keywords
Archimedean copulas; Maximum-likelihood estimation; Confidence intervals; Multi-parameter families;All these keywords.
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