P. Apputhurai and A. G. Stephenson, Spatiotemporal hierarchical modelling of extreme precipitation in Western Australia using anisotropic Gaussian random fields, Environmental and Ecological Statistics, vol.49, issue.4, pp.667-677, 2013.
DOI : 10.1111/1467-9868.00353

S. Banerjee, B. Carlin, and A. Gelfand, Hierarchical modeling and analysis for spatial data. Monographs on statistics and applied probability, 2004.
DOI : 10.1201/9780203487808

B. M. Brown and S. I. Resnick, Extreme values of independent stochastic processes, Journal of Applied Probability, vol.14, issue.04, pp.732-739, 1977.
DOI : 10.1214/aop/1176996221

S. Castruccio, R. Huser, and M. G. Genton, High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes, Journal of Computational and Graphical Statistics, vol.21, issue.4, pp.1-32, 2015.
DOI : 10.1093/biomet/ast042

URL : http://arxiv.org/pdf/1411.0086.pdf

S. G. Coles, An introduction to statistical modeling of extreme values, 2001.
DOI : 10.1007/978-1-4471-3675-0

D. Cooley, J. Cisewski, R. J. Erhardt, S. Jeon, E. Mannshardt et al., A survey of spatial extremes: Measuring spatial dependence and modeling spatial effects, pp.135-165, 2012.

D. Cooley, P. Naveau, and P. Poncet, Variograms for spatial max-stable random fields, Dependence in probability and statistics, pp.373-390, 2006.
DOI : 10.1007/0-387-36062-X_17

A. C. Davison, R. Huser, and E. Thibaud, Geostatistics of Dependent and Asymptotically Independent Extremes, Mathematical Geosciences, vol.406, issue.5, pp.511-529, 2013.
DOI : 10.1016/j.jhydrol.2011.06.014

A. C. Davison, S. A. Padoan, and M. Ribatet, Statistical Modeling of Spatial Extremes, Statistical Science, vol.27, issue.2, pp.161-186, 2012.
DOI : 10.1214/12-STS376REJ

L. De-haan, A spectral representation for max-stable processes. The annals of probability, pp.1194-1204, 1984.

L. De-haan and A. Ferreira, Extreme Value Theory: An Introduction. Springer Series in Operations Research and Financial Engineering, 2006.
DOI : 10.1007/0-387-34471-3

C. Dombry, F. Eyi-minko, and M. Ribatet, Conditional simulation of max-stable processes, Biometrika, vol.43, issue.1, pp.111-124, 2013.
DOI : 10.1239/aap/1308662488

URL : http://arxiv.org/pdf/1208.5376.pdf

A. V. Dyrrdal, A. Lenkoski, T. L. Thorarinsdottir, and F. Stordal, Bayesian hierarchical modeling of extreme hourly precipitation in Norway, Environmetrics, vol.32, issue.14, pp.89-106, 2015.
DOI : 10.1029/2005GL022465

L. Fawcett and D. Walshaw, Estimating the probability of simultaneous rainfall extremes within a region: a spatial approach, Journal of Applied Statistics, vol.49, issue.5, pp.959-976, 2014.
DOI : 10.1002/joc.3370040102

B. Finkenstädt and H. Rootzén, Extreme values in finance, telecommunications and the environment, 2004.
DOI : 10.1201/9780203483350

A. Genz and F. Bretz, Computation of multivariate normal and t probabilities, 2009.
DOI : 10.1007/978-3-642-01689-9

E. Gilleland and R. W. Katz, New Software to Analyze How Extremes Change Over Time, Eos, Transactions American Geophysical Union, vol.319, issue.5863, 2011.
DOI : 10.1126/science.1151915

Z. Kabluchko, M. Schlather, and L. De-haan, Stationary max-stable fields associated to negative definite functions. The Annals of Probability, pp.2042-2065, 2009.
DOI : 10.1214/09-aop455

URL : http://arxiv.org/pdf/0806.2780

L. 'ecuyer, P. Simard, R. Chen, E. J. Kelton, and W. D. , An Object-Oriented Random-Number Package with Many Long Streams and Substreams, Operations Research, vol.50, issue.6, pp.1073-1075, 2002.
DOI : 10.1287/opre.50.6.1073.358

B. G. Lindsay, Composite likelihood methods, Contemporary mathematics, vol.80, issue.1, pp.221-260, 1988.
DOI : 10.1090/conm/080/999014

B. Matérn, Spatial variation, Lecture Notes in Statistics, vol.36, issue.2, 1986.
DOI : 10.1007/978-1-4615-7892-5

T. Opitz, processes: Elliptical domain of attraction and a spectral representation, Journal of Multivariate Analysis, vol.122, pp.409-413, 2013.
DOI : 10.1016/j.jmva.2013.08.008

URL : https://hal.archives-ouvertes.fr/hal-00818117

S. A. Padoan and M. Bevilacqua, Analysis of Random Fields Using CompRandFld, 2015.

S. A. Padoan, M. Ribatet, and S. A. Sisson, Likelihood-Based Inference for Max-Stable Processes, Journal of the American Statistical Association, vol.105, issue.489, pp.263-277, 2010.
DOI : 10.1198/jasa.2009.tm08577

URL : https://hal.archives-ouvertes.fr/hal-00361245

D. Penot, Cartographie desévénementsdesévénements hydrologiques extrêmes et estimation schadex en sites non jaugés, 2014.

B. J. Reich and B. A. Shaby, A hierarchical max-stable spatial model for extreme precipitation, The Annals of Applied Statistics, vol.6, issue.4, p.1430, 2012.
DOI : 10.1214/12-AOAS591

URL : http://doi.org/10.1214/12-aoas591

B. J. Reich, B. A. Shaby, and D. Cooley, A Hierarchical Model for Serially-Dependent Extremes: A Study of Heat Waves in the Western US, Journal of Agricultural, Biological, and Environmental Statistics, vol.51, issue.1, pp.119-135, 2014.
DOI : 10.1111/j.1467-842X.2008.00528.x

M. Ribatet, Spatial Extremes and Max-Stable Processes, Journal de la Société Française de Statistique, vol.154, issue.2, pp.156-177, 2013.
DOI : 10.1201/b19721-10

M. Ribatet, SpatialExtremes: Modelling Spatial Extremes. R package version 2, pp.0-2, 2015.

M. Ribatet, D. Cooley, and A. C. Davison, Bayesian inference from composite likelihoods, with an application to spatial extremes, Statistica Sinica, pp.813-845, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00790093

M. Schlather, Models for stationary max-stable random fields, pp.33-44, 2002.

M. Schlather, A. Malinowski, M. Oesting, D. Boecker, K. Strokorb et al., RandomFields: Simulation and Analysis of Random Fields, 2016.

M. Schlather and J. A. Tawn, A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, vol.90, issue.1, pp.139-156, 2003.
DOI : 10.1093/biomet/90.1.139

Q. Sebille, hkevp: A hierarchical model for Spatial Extremes, 2016.

Q. Sebille, A. Fougères, and C. Mercadier, A comparison of spatial extreme value models: application to precipitation data, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01300751

B. A. Shaby and B. J. Reich, Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland, Environmetrics, vol.406, issue.1-2, pp.638-648, 2012.
DOI : 10.1016/j.jhydrol.2011.06.014

R. L. Smith, Max-stable processes and spatial extremes, 1990.

A. G. Stephenson, HIGH-DIMENSIONAL PARAMETRIC MODELLING OF MULTIVARIATE EXTREME EVENTS, Australian & New Zealand Journal of Statistics, vol.77, issue.1, pp.77-88, 2009.
DOI : 10.1007/978-1-4613-3638-9_14

A. G. Stephenson, B. A. Shaby, B. J. Reich, and A. L. Sullivan, Estimating Spatially Varying Severity Thresholds of a Forest Fire Danger Rating System Using Max-Stable Extreme-Event Modeling*, Journal of Applied Meteorology and Climatology, vol.54, issue.2, pp.395-407, 2015.
DOI : 10.1175/JAMC-D-14-0041.s1

E. Thibaud, J. Aalto, D. S. Cooley, A. C. Davison, and J. Heikkinen, Bayesian inference for the Brown???Resnick process, with an application to extreme low temperatures, The Annals of Applied Statistics, vol.10, issue.4, pp.2303-2324, 2016.
DOI : 10.1214/16-AOAS980SUPP

E. Thibaud and T. Opitz, Efficient inference and simulation for elliptical Pareto processes, Biometrika, vol.154, issue.4, pp.855-870, 2015.
DOI : 10.1093/biomet/ast042

URL : http://arxiv.org/pdf/1401.0168

C. Varin and P. Vidoni, A note on composite likelihood inference and model selection, Biometrika, vol.92, issue.3, pp.519-528, 2005.
DOI : 10.1093/biomet/92.3.519

URL : http://paduaresearch.cab.unipd.it/7054/1/2004_4.pdf