基于广义单位分割的新Copula及其在风险管理中的应用（II部分）
New copulas based on general partitions-of-unity and their applications to risk management (part II)
摘要：
我们提出了一个建设性的和自包含的方法，最近在文献中介绍的数据驱动的无限分割的单位copula。特别是，我们考虑负二项和泊松Copula，并提出了一个解决方案的问题，这样的Copula拟合高度不对称的数据在任意尺寸。
英文摘要：
We present a constructive and self-contained approach to data driven infinite partition-of-unity copulas that were recently introduced in the literature. In particular, we consider negative binomial and Poisson copulas and present a solution to the problem of fitting such copulas to highly asymmetric data in arbitrary dimensions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
