A. Mandava, S. Latifi, and R. Emmae, Reliability Assessment of Microarray Data Using Fuzzy Classification Methods: A Comparative Study, Advances in Computing and Communications. 2011 of Communications in Computer and Information Science, pp.351-360
DOI : 10.1109/91.227387

M. Knecht and S. Küttel, The czeledin distribution function, XXXIV ASTIN Colloquium

J. Carreau and Y. Bengio, A hybrid pareto model for asymmetric fattailed data: the univariate case, Extremes, vol.1, pp.53-76, 2009.

M. E. Kuhl and P. S. Bhairgond, Nonparametric estimation of nonhomogeneous Poisson processes using wavelets, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165), pp.562-571, 2000.
DOI : 10.1109/WSC.2000.899764

K. Jooseuk and D. Clayton, Robust kernel density estimation, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2529-2565, 2012.
DOI : 10.1109/ICASSP.2008.4518376

G. Stephen, P. Walker, P. W. Damien, A. F. Laud, and . Smith, Bayesian nonparametric inference for random distributions and related functions, J. R. Stat. Soc. Ser. B Stat. Methodol, vol.61, issue.3, pp.485-527, 1999.

P. Orbanz and Y. Teh, Bayesian nonparametric models, Encyclopedia of Machine Learning, 2010.

J. Carreau and Y. Bengio, A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions, IEEE Transactions on Neural Networks, vol.20, issue.7, pp.1087-1101, 2009.
DOI : 10.1109/TNN.2009.2016339

N. Debbabi, M. Kratz, M. Mboup, and S. Asmi, Combining algebraic approach with extreme value theory for spike detection, Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pp.1836-1840, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00744687

F. F. Digham, M. S. Alouini, and M. K. Simon, On the Energy Detection of Unknown Signals Over Fading Channels, IEEE Transactions on Communications, vol.55, issue.1, pp.21-24, 2007.
DOI : 10.1109/TCOMM.2006.887483

Y. Yang, D. Yu, and J. Cheng, A roller bearing fault diagnosis method based on {EMD} energy entropy and {ANN}, Journal of Sound and Vibration, vol.294, issue.12, pp.269-277, 2006.

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

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

S. Tanaka, K. Takara, A. Snorrason, H. Finnsdottir, and E. M. Moss, A study on threshold selection in pot analysis of extreme floods, IAHS- AISH publication, issue.271, pp.299-304, 2002.

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

Y. Demichel, A. Estrade, M. Kratz, and G. Samorodnitsky, How fast can the chord length distribution decay?, Advances in Applied Probability, vol.1, issue.02, pp.504-523, 2011.
DOI : 10.1007/978-1-4615-8162-8_8
URL : https://hal.archives-ouvertes.fr/hal-00419202

W. Gehin, Modlisation des queues de distribution des rendements des actif financiers, 2011.

K. Levenberg, A method for the solution of certain nonlonear problems in least squares quart, Applied Math, vol.2, pp.164-168, 1944.

D. W. Marquardt, An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society for Industrial and Applied Mathematics, vol.11, issue.2, pp.431-441, 1963.
DOI : 10.1137/0111030

J. R. Hosking and J. R. Wallis, Parameter and Quantile Estimation for the Generalized Pareto Distribution, Technometrics, vol.4, issue.3, pp.339-349, 1987.
DOI : 10.1016/0022-1694(85)90108-8

J. Zhang and M. A. Stephens, A New and Efficient Estimation Method for the Generalized Pareto Distribution, Technometrics, vol.51, issue.3, pp.316-325, 2009.
DOI : 10.1198/tech.2009.08017