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Titlebook: Copulas and Dependence Models with Applications; Contributions in Hon Manuel úbeda Flores,Enrique de Amo Artero,Juan Fer Conference proceed

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樓主: Grant
21#
發(fā)表于 2025-3-25 06:29:53 | 只看該作者
22#
發(fā)表于 2025-3-25 09:00:48 | 只看該作者
23#
發(fā)表于 2025-3-25 13:57:00 | 只看該作者
When Gumbel met Galambos,The well known bivariate Gumbel and Galambos copulas have analytical forms whose similarity is intriguing. As explored here, several deep connections indeed exist between these two parametric families of copulas in any dimension.
24#
發(fā)表于 2025-3-25 19:53:22 | 只看該作者
On the Conditional Value-at-Risk (CoVaR) in copula setting,This survey is dedicated to an application of copula methodology to systemic risk management. We deal with the modified Conditional Value-at-Risk (Co- VaR) for various families of copulas. We study to what extent the tail behaviour of the copula determines the limiting performance of the CoVaR when the conditioning event is becoming more extreme.
25#
發(fā)表于 2025-3-25 22:09:49 | 只看該作者
26#
發(fā)表于 2025-3-26 01:01:31 | 只看該作者
27#
發(fā)表于 2025-3-26 05:35:23 | 只看該作者
28#
發(fā)表于 2025-3-26 09:13:58 | 只看該作者
29#
發(fā)表于 2025-3-26 12:53:34 | 只看該作者
Copula-based piecewise regression,efore they lead to monotone regression functions, which makes them not suitable for dependence relationships that imply or suggest a non-monotone regression function. A gluing copula approach is proposed to decompose the underlying copula into totally ordered copulas that once combined may lead to a non-monotone regression function.
30#
發(fā)表于 2025-3-26 20:43:56 | 只看該作者
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