To handle the ubiquitous problem of "dependence learning," copulas are quickly becoming a pervasive tool across a wide range of data-driven disciplines encompassing neuroscience, finance, econometrics, genomics, social science, machine learning, healthcare and many more. Copula (or connection) functions were invented in 1959 by Abe Sklar in response to a query of Maurice Frechet. After 60 years, where do we stand now? This article provides a history of the key developments and offers a unified perspective.

中文翻译：

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非参数通用 copula 建模

为了处理无处不在的“依赖学习”问题，copula 正迅速成为广泛的数据驱动学科的普遍工具，包括神经科学、金融、计量经济学、基因组学、社会科学、机器学习、医疗保健等等。Copula（或连接）函数是在 1959 年由 Abe Sklar 为响应 Maurice Frechet 的询问而发明的。60年后，我们现在站在什么位置？本文提供了关键发展的历史，并提供了一个统一的视角。