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Copulas and Dependence Models with Applications

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Cover of 'Copulas and Dependence Models with Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Constructions of copulas under prescribed sections
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    Chapter 2 The Gumbel-Marshall-Olkin distribution
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    Chapter 3 A look at copulas in a curved mirror
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    Chapter 4 Copula–based clustering methods
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    Chapter 5 Copula-based piecewise regression
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    Chapter 6 When Gumbel met Galambos
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    Chapter 7 On the Conditional Value-at-Risk (CoVaR) in copula setting
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    Chapter 8 Parametric copula families for statistical models
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    Chapter 9 Copula constructions using ultramodularity
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    Chapter 10 Operations on Finite Settings: from Triangular Norms to Copulas
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    Chapter 11 My meetings with Roger B. Nelsen
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    Chapter 12 Improved Hoeffding–Fréchet bounds and applications to VaR estimates
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    Chapter 13 Quasi–copulas: a brief survey
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    Chapter 14 Complete dependence everywhere?
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    Chapter 15 Sklar’s theorem: The cornerstone of the Theory of Copulas
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    Chapter 16 Erratum to: When Gumbel met Galambos
Attention for Chapter 10: Operations on Finite Settings: from Triangular Norms to Copulas
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