On max-sum equivalence and convolution closure of heavy-tailed distributions and their applications
By Jun Cai, Qihe Tang. Journal of Applied Probability, 2004
97 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4341ec0502ba15e304c7d7720b18d99143a0bc55
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Citations in the corpus
- Precise large deviations for sums of random variables with consistently varying tails (2004, background): “Cline and Samorodnitsky (1994, p. 87) constructed some examples to show that C is strictly larger than ERV and that D ∩ S is strictly larger than C. Related discussions can also be found in Cai and Tang (2004).”
- Sums of Pairwise Quasi-Asymptotically Independent Random Variables with Consistent Variation (2009, background): “It is well-known that ⊂ ERV ⊂ ⊂ Moreover, Cai and Tang[3] and Cline and Samorodnitsky[5] gave nontrivial examples showing that the class is strictly larger than the class .”
- SUMS OF DEPENDENT NONNEGATIVE RANDOM VARIABLES WITH SUBEXPONENTIAL TAILS (2008, background): “The first integral in the bracket is asymptotically equal to F1(x) + F2(x); for case (i), see Corollary 1 of Cline (1986) while, for case (ii), see Theorem 2.1 of Cai and Tang (2004).”
- Asymptotics for Risk Capital Allocations Based on Conditional Tail Expectation (2011, unknown): “4) is included in Charpentier and Segers (2009). The vast majority of Archimedean copulae that satisfy (4.”
- Insensitivity to Negative Dependence of the Asymptotic Behavior of Precise Large Deviations (2006, methodology): “Clearly, the class C covers the class R. Examples that illustrate the inclusion R ⊂ C is proper were given in Cline and Samorodnitsky (1994) and Cai and Tang (2004).”
- Precise Large Deviations for Sums of Random Variables with Consistently Varying Tails in Multi-Risk Models (2007, background): “By Theorem 2.2 of Cai and Tang (2004), if Fi ∈ C then Fni∗i ∈ C.”
- Uniform estimate for maximum of randomly weighted sums with applications to insurance risk theory (2005, background): “In fact, Cai and Tang [ 10 ] showed that the class C is strictly larger than the class R.”