Extreme dependence of multivariate catastrophic losses
暂无分享,去创建一个
[1] Lars-Gunnar Benckert,et al. Statistical Models of Claim Distributions in Fire Insurance , 1974, ASTIN Bulletin.
[2] Christian Genest,et al. A nonparametric estimation procedure for bivariate extreme value copulas , 1997 .
[3] S. Resnick. Extreme Values, Regular Variation, and Point Processes , 1987 .
[4] Hélène Cossette,et al. Modeling Catastrophes and their Impact on Insurance Portfolios , 2003 .
[5] Joint exceedances of the ARCH process , 2004, Journal of Applied Probability.
[6] Jonathan A. Tawn,et al. Bivariate extreme value theory: Models and estimation , 1988 .
[7] J. Tawn. Modelling multivariate extreme value distributions , 1990 .
[8] P. Hall,et al. Prediction Regions for Bivariate Extreme Events , 2004 .
[9] J. Angus. The Asymptotic Theory of Extreme Order Statistics , 1990 .
[10] Jonathan A. Tawn,et al. Modelling Dependence within Joint Tail Regions , 1997 .
[11] A. McNeil. Estimating the Tails of Loss Severity Distributions Using Extreme Value Theory , 1997, ASTIN Bulletin.
[12] J. Teugels,et al. Practical Analysis of Extreme Values , 1996 .
[13] P. Hall,et al. Distribution and dependence-function estimation for bivariate extreme-value distributions , 2000 .
[14] Jan Beirlant,et al. Estimating catastrophic quantile levels for heavy-tailed distributions , 2004 .
[15] S. Coles,et al. Modelling Extreme Multivariate Events , 1991 .
[16] H. Joe. Multivariate extreme value distributions , 1997 .
[17] L. Breiman,et al. On Some Limit Theorems Similar to the Arc-Sin Law , 1965 .
[18] Harry Joe,et al. Bivariate Threshold Methods for Extremes , 1992 .
[19] A. McNeil,et al. Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling , 2003, ASTIN Bulletin.
[20] Sidney I. Resnick,et al. Estimating the limit distribution of multivariate extremes , 1993 .
[21] A. Ledford,et al. Statistics for near independence in multivariate extreme values , 1996 .
[22] L. de Haan,et al. Estimating the spectral measure of an extreme value distribution , 1997 .
[23] J. Hüsler. Maxima of normal random vectors: between independence and complete dependence , 1989 .
[24] H. Block. Multivariate Exponential Distribution , 2006 .
[25] Rafael Schmidt,et al. Non‐parametric Estimation of Tail Dependence , 2006 .
[26] L. de Haan,et al. Estimating the probability of a rare event , 1999 .
[27] Laurens de Haan,et al. Estimating a multidimensional extreme-value distribution , 1993 .
[28] Paul Deheuvels,et al. On the limiting behavior of the Pickands estimator for bivariate extreme-value distributions , 1991 .
[29] Satishs Iyengar,et al. Multivariate Models and Dependence Concepts , 1998 .
[30] L. Haan,et al. Nonparametric estimation of the spectral measure of an extreme value distribution , 2001 .
[31] C. Klüppelberg,et al. Modelling Extremal Events , 1997 .
[32] L. de Haan,et al. Bivariate tail estimation: dependence in asymptotic independence , 2004 .
[33] Johan Segers,et al. Statistics of Multivariate Extremes , 2005 .
[34] U. Stadtmüller,et al. Generalized regular variation of second order , 1996, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[35] Claudia Klüppelberg,et al. Dependence Estimation and Visualization in Multivariate Extremes with Applications to Financial Data , 2004 .
[36] Janos Galambos,et al. Order Statistics of Samples from Multivariate Distributions , 1975 .
[37] S. Resnick,et al. Consistency of Hill's estimator for dependent data , 1995, Journal of Applied Probability.
[38] J. Einmahl. The almost sure behavior of the weighted empirical process and the LIL for the weighted tail empirical process , 1992 .
[39] J. Corcoran. Modelling Extremal Events for Insurance and Finance , 2002 .
[40] Jonathan A. Tawn,et al. Statistical Methods for Multivariate Extremes: An Application to Structural Design , 1994 .