Abstract
Let (S 1,S 2) = (R cos(Θ), R sin(Θ)) be a bivariate random vector with associated random radius R which has distribution function F being further independent of the random angle Θ. In this paper we investigate the asymptotic behaviour of the conditional survivor probability \(\overline{I}_{\rho,u}(y):=\mbox{\rm$\boldsymbol{P}$} \left\{{\rho S_1+ \sqrt{1- \rho^2} S_2> y \lvert S_1> u}\right\} , \rho \in (-1,1),\in \!I\!\!R\) when u approaches the upper endpoint of F. On the density function of Θ we impose a certain local asymptotic behaviour at 0, whereas for F we require that it belongs to the Gumbel max-domain of attraction. The main result of this contribution is an asymptotic expansion of \(\overline{I}_{\rho,u}\), which is then utilised to construct two estimators for the conditional distribution function \(1- \overline{I}_{\rho,u}\). Furthermore, we allow Θ to depend on u.
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Abdous, B., Fougères, A.-L., Ghoudi, K.: Extreme behaviour for bivariate elliptical distributions. Can. J. Stat. 33(3), 317–334 (2005)
Abdous, B., Fougères, A.-L., Ghoudi, K., Soulier, P.: Estimation of bivariate excess probabilities for elliptical models. www.arXiv:math/0611914v3 (2008)
Berman, M.S.: Sojourns and extremes of stationary processes. Ann. Probab. 10, 1–46 (1982)
Berman, M.S.: Sojourns and extremes of Fourier sums and series with random coefficients. Stoch. Process. their Appl. 15, 213–238 (1983)
Berman, M.S.: Sojourns and Extremes of Stochastic Processes. Wadsworth & Brooks/ Cole, Boston (1992)
Cambanis, S., Huang, S., Simons, G.: On the theory of elliptically contoured distributions. J. Multivar. Anal. 11(3), 368–385 (1981)
De Haan, L., Ferreira, A.: Extreme Value Theory. An Introduction. Springer, New York (2006)
Eddy, W.F., Gale, J.D.: The convex hull of a spherically symmetric sample. Adv. Appl. Probab. 13, 751–763 (1981)
Embrechts, P., Klüppelberg, C., Mikosch, T.: Modelling Extremal Events for Insurance and Finance. Springer, Berlin (1997)
Galambos, J.: The Asymptotic Theory Of Extreme Order Statistics, 2nd edn. Krieger, Malabar (1987)
Gale, J.D.: The asymptotic distribution of the convex hull of a random sample. Ph.D. Thesis, Carnegie-Mellon University (1980)
Falk, M., Hüsler, J., Reiss R.-D.: Laws of Small Numbers: Extremes and Rare Events. DMV Seminar, 2nd edn, vol. 23. Birkhäuser, Basel (2004)
Hashorva, E.: Gaussian approximation of conditional elliptical random vectors. Stoch. Models 22(3), 441–457 (2006)
Hashorva, E.: Exact tail asymptotics for type I bivariate elliptical distributions. Albanian J. Math. 1(2), 99–114 (2007a)
Hashorva, E.: Conditional limiting distribution of type III elliptical random vectors. J. Multivar. Anal. 98(2), 282–294 (2007b)
Hashorva, E.: Tail asymptotics and estimation for elliptical distributions. Insur. Math. Econ. 43(1), 158–164 (2008a)
Hashorva, E.: Conditional limiting distribution of Beta-independent random vectors. J. Multivar. Anal. 99(8), 1438–1459 (2008b)
Heffernan, J.E., Tawn, J.A.: A conditional approach for multivariate extreme values. J. R. Stat. Soc. Ser. B Stat. Methodol. 66(3), 497–546 (2004)
Heffernan, J.E., Resnick, S.I.: Limit laws for random vectors with an extreme component. Ann. Appl. Probab. 17(2), 537–571 (2007)
Kotz, S., Nadarajah, S.: Extreme Value Distributions, Theory and Applications. Second Printing. Imperial College Press, London (2005)
Klüppelberg, C., Kuhn, K., Peng, L.: Estimating the tail dependence of an elliptical distribution. Bernoulli 13(1), 229–251 (2007)
Reiss, R.-D.: Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics. Springer, New York (1989)
Reiss, R.-D., Thomas, M.: Statistical Analysis of Extreme Values. From Insurance, Finance, Hydrology and Other Fields, 3rd edn. Birkhäuser, Basel (2007)
Resnick, S.I.: Extreme Values, Regular Variation and Point Processes. Soft Cover Edition. Springer, New York (2008)
Tang, Q.: The subexponentiality of products revisited. Extremes 9(3–4), 231–241 (2006)
Tang, Q.: From light tails to heavy tails through multiplier. Extremes 11(4), 379–391 (2008)
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Hashorva, E. Conditional limit results for type I polar distributions. Extremes 12, 239–263 (2009). https://doi.org/10.1007/s10687-008-0078-y
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DOI: https://doi.org/10.1007/s10687-008-0078-y
Keywords
- Polar distributions
- Elliptical distributions
- Gumbel max-domain of attraction
- Conditional limit theorem
- Tail asymptotics
- Estimation of conditional distribution