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The Philosophy of Copula Modeling: A Conversation with ChatGPT
Volume 21, Issue 4 (2023), pp. 619–637
Marius Hofert ORCID icon link to view author Marius Hofert details  

Authors

 
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https://doi.org/10.6339/23-JDS1114
Pub. online: 11 October 2023      Type: Philosophies Of Data Science      Open accessOpen Access

Received
18 July 2023
Accepted
1 September 2023
Published
11 October 2023

Abstract

In the form of a scholarly exchange with ChatGPT, we cover fundamentals of modeling stochastic dependence with copulas. The conversation is aimed at a broad audience and provides a light introduction to the topic of copula modeling, a field of potential relevance in all areas where more than one random variable appears in the modeling process. Topics covered include the definition, Sklar’s theorem, the invariance principle, pseudo-observations, tail dependence and stochastic representations. The conversation also shows to what degree it can be useful (or not) to learn about such concepts by interacting with the current version of a chatbot.

References

 
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2023 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
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Open access article under the CC BY license.

Keywords
introduction invariance principle pseudo-observations Sklar’s theorem stochastic representation tail dependence

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