The Extremal Dependence Measure and Asymptotic Independence
By Sidney I. Resnick. 2004
63 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/79b2d62d1894efb612a063e513ac95bc1f7ebcdb
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In Finance
- Sidney I. Resnick
- Janet E. Heffernan
- Hansjörg Albrecher *
- Dominik Kortschak
- Søren Asmussen
- Jonathan A. Tawn
- Bikramjit Das
- A. C. Davison
In Statistics and Probability
- Sidney I. Resnick
- Janet E. Heffernan
- Hansjörg Albrecher *
- Dominik Kortschak
- Søren Asmussen
- Bikramjit Das
- Jonathan A. Tawn
- Jennifer L. Wadsworth
Citations in the corpus
- Characterizations and Examples of Hidden Regular Variation (2004, unknown): “See Examples 1 and 2 in Resnick (2002b).”
- Hidden regular variation and the rank transform (2005, background): “…asymptotic independence from dependence; see Campos et al. (2005), Coles et al. (1999), de Haan and de Ronde (1998), Draisma et al. (2004), Heffernan (2000), Ledford and Tawn (1996), (1997), Maulik and Resnick (2005), Peng (1999), Poon et al. (2003), Resnick (2004), and Stărică (1999).”
- Multivariate extremes and the aggregation of dependent risks: examples and counter-examples (2009, unknown): “Resnick (2007) calls νβ the limit measure and, after normalization of the marginal dfs, ν1 is referred to as the exponent measure in de Haan and Ferreira (2006).”
- Tail asymptotics for the sum of two heavy-tailed dependent risks (2006, background): “A natural extremal dependence measure in this setting is ρ := 1 − 1 (π/4)2 ∫ π/2 0 ( ϕ − π 4 )2 S(dϕ), see Resnick [27].”