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Titlebook: Analyzing Dependent Data with Vine Copulas; A Practical Guide Wi Claudia Czado Textbook 2019 Springer Nature Switzerland AG 2019 vine copul

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發(fā)表于 2025-3-23 11:17:19 | 只看該作者
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發(fā)表于 2025-3-23 16:29:04 | 只看該作者
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發(fā)表于 2025-3-23 19:22:55 | 只看該作者
14#
發(fā)表于 2025-3-24 02:01:40 | 只看該作者
https://doi.org/10.1007/978-3-642-38262-8.. With the second approach, we obtain the class of .. The well-known examples of this class are the Clayton, Gumbel, Frank, and Joe copula families. The third approach arises from extensions of univariate extreme-value theory to higher dimensions.
15#
發(fā)表于 2025-3-24 04:48:11 | 只看該作者
Individual-Level Responses to Differenceconstruction principle allowing for different conditioning orders. As we already noted the construction is not unique, therefore it will be important to allow for different constructions and to organize them.
16#
發(fā)表于 2025-3-24 10:32:53 | 只看該作者
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發(fā)表于 2025-3-24 12:48:43 | 只看該作者
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發(fā)表于 2025-3-24 18:49:10 | 只看該作者
Multivariate Distributions and Copulas,herefore corresponding (conditional) densities or probability mass functions exist. In both cases, we use the letter . for densities or probability mass functions and the letter . for the corresponding distribution function.
19#
發(fā)表于 2025-3-24 20:35:40 | 只看該作者
20#
發(fā)表于 2025-3-25 02:26:44 | 只看該作者
Regular Vines,construction principle allowing for different conditioning orders. As we already noted the construction is not unique, therefore it will be important to allow for different constructions and to organize them.
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