P. Artzner, F. Delbaen, J. Eber, and D. Heath, Coherent measures of risk, Math. Finance, vol.9, pp.3-203, 1999.

A. Chernobai, S. T. Rachev, and F. J. Fabozzi, Operational Risk: A Guide to Basel II Capital Requirements, Models, and Analysis, 2007.
DOI : 10.1002/9781119201922

M. Cruz, Modeling, measuring and hedging operational risk, 2002.

M. Cruz, Operational Risk Modelling and Analysis, 2004.

J. Danielsson, L. De-haan, L. Peng, and C. De-vries, Using a Bootstrap Method to Choose the Sample Fraction in Tail Index Estimation, Journal of Multivariate Analysis, vol.76, issue.2, pp.226-248, 2001.
DOI : 10.1006/jmva.2000.1903

R. Davis and S. Resnick, Tail Estimates Motivated by Extreme Value Theory, The Annals of Statistics, vol.12, issue.4, pp.1467-1468, 1988.
DOI : 10.1214/aos/1176346804

M. Degan, P. Embrechts, and D. Lambrigger, The Quantitative Modeling of Operational Risk: Between G-and-H and EVT, ASTIN Bulletin, vol.9, issue.02, pp.265-291, 2007.
DOI : 10.1016/S0927-5398(00)00012-8

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society: Series B, vol.39, pp.1-38, 1977.

K. Dutta, J. , and P. , A Tale of Tails: An Empirical Analysis of Loss Distribution Models for Estimating Operational Risk Capital, Working Paper N?, pp.6-13, 2007.
DOI : 10.2139/ssrn.918880

P. Embrechts, C. Klüppelberg, and T. Mikosh, Modelling of extremal events in insurance and finance, ZOR Zeitschrift f???r Operations Research Mathematical Methods of Operations Research, vol.73, issue.1, p.18, 1997.
DOI : 10.1007/BF01440733

R. A. Fisher and L. H. Tippett, Limiting forms of the frequency distribution of the largest or smallest member of a sample, Proc. Cambridge Philosophical Soc, pp.180-190, 1928.
DOI : 10.1017/S0305004100015681

A. Frachot, P. Georges, and T. Roncalli, Loss distribution approach for operational risk', Working Paper, 2001.

G. Gudendorf and J. Segers, Extreme-Value Copulas, Proceedings of the Workshop on Copula Theory and Its Applications held, 2010.
DOI : 10.1007/978-3-642-12465-5_6

D. Guégan and B. Hassani, 'n-dimensional copula contributions to multivariate operational risk capital computations, 2010.

D. Guégan and B. Hassani, A mathematical resurgence of risk management: an extreme modeling of expert opinions, 2011.

D. Guégan and B. K. Hassani, A modified Panjer algorithm for operational risk capital calculations, The Journal of Operational Risk, vol.4, issue.4, pp.53-72, 2009.
DOI : 10.21314/JOP.2009.068

P. Hall, On some simple estimates of an exponent of regular variation, J.R.S.S.B, vol.44, pp.37-42, 1982.

P. Hall, Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems, Journal of Multivariate Analysis, vol.32, issue.2, pp.177-203, 1990.
DOI : 10.1016/0047-259X(90)90080-2

B. M. Hill, A Simple General Approach to Inference About the Tail of a Distribution, The Annals of Statistics, vol.3, issue.5, pp.1163-1174, 1975.
DOI : 10.1214/aos/1176343247

A. Luceno, Fitting the generalized pareto distribution to data using maximum goodnessof-fit estimators', Computational statistics and data analysis 51, pp.904-917, 2006.

X. Luo and P. Shevchenko, Computing tails of compound distributions using direct numerical integration, The Journal of Computational Finance, vol.13, issue.2, pp.73-111, 2009.
DOI : 10.21314/JCF.2009.193

G. Mclachlan and T. Krishnan, The EM algorithm and extensions, p.19, 1997.

G. Peters and S. Sisson, Bayesian inference, Monte Carlo sampling and operational risk, The Journal of Operational Risk, vol.1, issue.3, pp.27-50, 2006.
DOI : 10.21314/JOP.2006.014

G. W. Peters, A. M. Johansen, and A. Doucet, Simulation of the annual loss distribution in operational risk via Panjer recursions and Volterra integral equations for value-at-risk and expected shortfall estimation, The Journal of Operational Risk, vol.2, issue.3, pp.29-58, 2007.
DOI : 10.21314/JOP.2007.031

J. Pickands, Statistical inference using extreme order statistics, annals of Statistics, vol.3, pp.119-131, 1975.

P. Shevchenko, Calculation of aggregate loss distributions, The Journal of Operational Risk, vol.5, issue.2, pp.3-40, 2010.
DOI : 10.21314/JOP.2010.077

P. Shevchenko and G. Temnov, Modeling operational risk data reported above a time-varying threshold, The Journal of Operational Risk, vol.4, issue.2, pp.19-42, 2009.
DOI : 10.21314/JOP.2009.060