Continuous scaled phase-type distributions
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Mogens Bladt | Martin Bladt | Jorge Yslas | Hansjoerg Albrecher | M. Bladt | Hansjoerg Albrecher | Martin Bladt | Jorge Yslas
[1] M. Arendarczyk,et al. Asymptotics of supremum distribution of a Gaussian process over a Weibullian time , 2009, 0909.3667.
[2] Hansjoerg Albrecher,et al. Explicit ruin formulas for models with dependence among risks , 2011 .
[3] M. Bladt,et al. Fitting phase–type scale mixtures to heavy–tailed data and distributions , 2017, Extremes.
[4] J. Corcoran. Modelling Extremal Events for Insurance and Finance , 2002 .
[5] S. Foss,et al. An Introduction to Heavy-Tailed and Subexponential Distributions , 2011 .
[6] M. Bladt,et al. Calculation of ruin probabilities for a dense class of heavy tailed distributions , 2015 .
[7] L. Breiman,et al. On Some Limit Theorems Similar to the Arc-Sin Law , 1965 .
[8] Mogens Bladt,et al. Inhomogeneous phase-type distributions and heavy tails , 2018, Journal of Applied Probability.
[9] Daren B. H. Cline,et al. Convolution tails, product tails and domains of attraction , 1986 .
[10] J. Teugels,et al. Reinsurance: Actuarial and Statistical Aspects , 2017 .
[11] Ren Asmussen,et al. Fitting Phase-type Distributions via the EM Algorithm , 1996 .
[12] C. Berg,et al. Generation of generators of holomorphic semigroups , 1993, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[13] N. Higham. Functions Of Matrices , 2008 .
[14] Gennady Samorodnitsky,et al. Subexponentiality of the product of independent random variables , 1994 .
[15] Analytic Functions of Matrices , 1952 .
[16] Mogens Bladt,et al. Matrix-Exponential Distributions in Applied Probability , 2017 .
[17] Gennady Samorodnitsky,et al. Inverse problems for regular variation of linear filters, a cancellation property for σ-finite measures and identification of stable laws , 2007, 0712.0576.
[18] Sidney I. Resnick,et al. Characterizations and Examples of Hidden Regular Variation , 2004 .
[19] L. Rojas-Nandayapa,et al. Asymptotic tail behaviour of phase-type scale mixture distributions , 2015, Annals of Actuarial Science.
[20] Edward Furman,et al. Multiplicative background risk models: Setting a course for the idiosyncratic risk factors distributed phase-type , 2021 .
[21] Hélène Cossette,et al. Univariate and multivariate mixtures of exponential distributions, with applications in risk modeling , 2021 .
[22] Emiliano A. Valdez,et al. Understanding Relationships Using Copulas , 1998 .
[23] ArneAndersson LundUniversity. Is Necessary and Sufficient# , 1996 .
[24] P. Embrechts,et al. On closure and factorization properties of subexponential and related distributions , 1980, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[25] Martin Bladt,et al. matrixdist: An R Package for Inhomogeneous Phase-Type Distributions , 2021, 2101.07987.
[26] Nicholas J. Higham,et al. Functions of matrices - theory and computation , 2008 .
[27] Gennady Samorodnitsky,et al. Multivariate subexponential distributions and their applications , 2015 .
[28] Daren B. H. Cline,et al. Convolutions of Distributions With Exponential and Subexponential Tails , 1987, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[29] M. Bladt,et al. Matrix Mittag–Leffler distributions and modeling heavy-tailed risks , 2019, Extremes.
[30] Hui Xu,et al. A necessary and sufficient condition for the subexponentiality of the product convolution , 2017, Advances in Applied Probability.
[31] 採編典藏組. Society for Industrial and Applied Mathematics(SIAM) , 2008 .
[32] The subexponentiality of products revisited , 2007 .