Statistical Detection of Changes in Geophysical Series, Engineering Risk in Natural Resources Management, vol.275, pp.159-176, 1994. ,
DOI : 10.1007/978-94-015-8271-1_9
The multivariate Gaussian tail model: an application to oceanographic data, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.49, issue.1, pp.31-49, 2000. ,
DOI : 10.1111/1467-9876.00177
Extreme rainfall estimation by combining data from several sites, Hydrological Sciences Journal, vol.26, issue.4, pp.345-365, 1991. ,
DOI : 10.1080/02626668609491051
Marginal Likelihood from the Gibbs Output, Journal of the American Statistical Association, vol.92, issue.432, pp.1313-1321, 1995. ,
DOI : 10.1080/01621459.1995.10476591
An Introduction to Statistical Modeling of Extreme Values, 2001. ,
DOI : 10.1007/978-1-4471-3675-0
Anticipating catastrophes through extreme value modelling, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.4, issue.4, pp.405-416, 2003. ,
DOI : 10.1111/1467-9876.00413
A fully probabilistic approach to extreme rainfall modeling, Journal of Hydrology, vol.273, issue.1-4, pp.35-50, 2003. ,
DOI : 10.1016/S0022-1694(02)00353-0
Statistics of Coastal Flood Prevention, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.332, issue.1627, pp.457-476, 1990. ,
DOI : 10.1098/rsta.1990.0126
A Bayesian Analysis of Extreme Rainfall Data, Applied Statistics, vol.45, issue.4, pp.463-478, 1996. ,
DOI : 10.2307/2986068
Statistical Analysis of Extremes Motivated by Weather and Climate Studies: Applied and Theoretical Advances, 2005. ,
Flood frequency analyses. in Water-supply paper 1553-A, 1960. ,
Spatial extremes: Models for the stationary case, The Annals of Statistics, vol.34, issue.1, pp.146-168, 2006. ,
DOI : 10.1214/009053605000000886
Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods. Computational Statistics and Data Analysis, 2006. ,
Multivariate hydrological frequency analysis using copulas, Water Resources Research, vol.246, issue.1, 2004. ,
DOI : 10.1029/2003WR002456
Limiting forms of the frequency distribution of the largest or smallest member of a sample, Mathematical Proceedings of the Cambridge Philosophical Society, vol.24, issue.02, 1928. ,
DOI : 10.1017/S0305004100015681
Sampling-Based Approaches to Calculating Marginal Densities, Journal of the American Statistical Association, vol.4, issue.410, pp.398-409, 1990. ,
DOI : 10.1080/01621459.1986.10478240
Bayesian data analysis, C. Hall, 1995. ,
Efficient Metropolis Jumping Rules. Pages 599-607 in Bayesian Statistics 5, 1996. ,
Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, pp.721-741, 1984. ,
Adaptive Rejection Metropolis Sampling within Gibbs Sampling, Applied Statistics, vol.44, issue.4, pp.455-472, 1995. ,
DOI : 10.2307/2986138
Adaptive Rejection Sampling for Gibbs Sampling, Applied Statistics, vol.41, issue.2, pp.337-348, 1992. ,
DOI : 10.2307/2347565
An Adaptive Metropolis Algorithm, Bernoulli, vol.7, issue.2, pp.223-242, 2001. ,
DOI : 10.2307/3318737
Componentwise adaptation for high dimensional MCMC, Computational Statistics, vol.21, issue.2, pp.265-273, 2005. ,
DOI : 10.1007/BF02789703
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970. ,
DOI : 10.1093/biomet/57.1.97
Bayesian model averaging: A tutorial, Statistical Science, vol.14, pp.382-401, 1999. ,
The effect of intersite dependence on regional flood frequency analysis, Water Resources Research, vol.31, issue.4, pp.588-600, 1988. ,
DOI : 10.1029/WR024i004p00588
Regional Frequency Analysis: an approach based on L-Moments. 226 p, 1997. ,
The frequency distribution of the annual maximum (or minimum) values of meteorological elements, Quarterly Journal of the Royal Meteorological Society, vol.17, issue.348, pp.158-171, 1955. ,
DOI : 10.1002/qj.49708134804
Bayes Factors, Journal of the American Statistical Association, vol.2, issue.430, pp.773-795, 1995. ,
DOI : 10.1080/01621459.1995.10476572
Statistics of extremes in hydrology, Advances in Water Resources, vol.25, issue.8-12, pp.1287-1304, 2002. ,
DOI : 10.1016/S0309-1708(02)00056-8
Analyse spatiotemporelle de données pluviométriques en Afrique de l'Ouest. Recherche d'une rupture en moyenne. Une alternative intéressante: les tests de permutations, pp.95-110, 1998. ,
A shift of the mean level in a sequence of independant normal random variables -a Bayesian approach, Technometrics, vol.19, pp.503-506, 1977. ,
Markov switching time series models with application to a daily runoff series, Water Resources Research, vol.147, issue.2, pp.523-534, 1999. ,
DOI : 10.1029/98WR02686
The partial duration series method in regional index-flood modeling, Water Resources Research, vol.30, issue.1, pp.737-746, 1997. ,
DOI : 10.1029/96WR03847
A comparative study of Markov chain Monte Carlo methods for conceptual rainfall-runoff modeling, Water Resources Research, vol.181, issue.3, 2004. ,
DOI : 10.1029/2003WR002378
Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data, Water Resources Research, vol.32, issue.12, pp.737-744, 2000. ,
DOI : 10.1029/1999WR900330
Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953. ,
DOI : 10.1063/1.1699114
The Monte Carlo Method, Journal of the American Statistical Association, vol.44, issue.247, pp.335-341, 1949. ,
DOI : 10.1080/01621459.1949.10483310
The use of Bayesian methods for fitting rating curves, with case studies, Advances in Water Resources, vol.28, issue.8, pp.807-818, 2005. ,
DOI : 10.1016/j.advwatres.2005.02.005
Spatial extremes analysis in climate studies. in. Extreme Value Analysis, 2005. ,
Analysis of regional flood models utilized in France and Quebec, pp.155-182, 1999. ,
Encoding prior experts judgments to improve risk analysis of extreme hydrological events via POT modeling, Journal of Hydrology, vol.283, issue.1-4, pp.1-18, 2003. ,
DOI : 10.1016/S0022-1694(03)00080-5
Analyse bayésienne rétrospective d'une rupture dans les séquences de variables aléatoires hydrologiques, Thesis. ENGREF, INRS-Eau, vol.200, 2000. ,
Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited, Journal of Hydrology, vol.235, issue.3-4, pp.221-241, 2000. ,
DOI : 10.1016/S0022-1694(00)00270-5
Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting, Journal of Hydrology, vol.235, issue.3-4, pp.242-263, 2000. ,
DOI : 10.1016/S0022-1694(00)00271-7
Mixture and Hidden Markov models for peak flow analysis, Seizièmes entretiens du centre Jacques Cartier, 2003. ,
Detection of changes in precipitation and runoff over eastern Canada and U.S. using a Bayesian approach, Stochastic Environmental Research and Risk Assessment (SERRA), vol.13, issue.3, pp.201-216, 1999. ,
DOI : 10.1007/s004770050039
Retrospective multivariate Bayesian change-point analysis: A simultaneous single change in the mean of several hydrological sequences, Stochastic Environmental Research and Risk Assessment, vol.14, issue.4, pp.243-261, 2000. ,
DOI : 10.1007/s004770000051
Bayesian MCMC flood frequency analysis with historical information, Journal of Hydrology, vol.313, issue.1-2, pp.97-116, 2005. ,
DOI : 10.1016/j.jhydrol.2005.02.028
Statistical analysis of extreme events in a nonstationary context via a Bayesian framework. Stochastic Environmental Research and Risk Assessment, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00452224
A regional Bayesian POT model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00232788
Facilitating the Gibbs Sampler: The Gibbs Stopper and the Griddy-Gibbs Sampler, Journal of the American Statistical Association, vol.85, issue.419, pp.861-868, 1992. ,
DOI : 10.1080/01621459.1991.10475006
Convergence of Adaptive Direction Sampling, Journal of Multivariate Analysis, vol.49, issue.2, pp.287-298, 1994. ,
DOI : 10.1006/jmva.1994.1028
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
Estimating a regional flood frequency distribution, Water Resources Research, vol.11, issue.4, pp.503-510, 1983. ,
DOI : 10.1029/WR019i002p00503
Tools for Statistical Inference, 1996. ,
Bayesian Rainfall Variability Analysis in West Africa along Cross Sections in Space???Time Grid Boxes, Journal of Climate, vol.17, issue.5, pp.1069-1082, 2004. ,
DOI : 10.1175/1520-0442(2004)017<1069:BRVAIW>2.0.CO;2
Modeling long-term persistence in hydroclimatic time series using a hidden state Markov Model, Water Resources Research, vol.27, issue.8, pp.3301-3310, 2000. ,
DOI : 10.1029/2000WR900157
A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach, Journal of Hydrology, vol.275, issue.1-2, pp.12-26, 2003. ,
DOI : 10.1016/S0022-1694(02)00412-2
A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2. Real data analysis, Journal of Hydrology, vol.275, issue.1-2, pp.27-48, 2003. ,
DOI : 10.1016/S0022-1694(02)00411-0
Quantifying parameter uncertainty in stochastic models using the Box???Cox transformation, Journal of Hydrology, vol.265, issue.1-4, pp.246-257, 2002. ,
DOI : 10.1016/S0022-1694(02)00113-0
Markov Chains for Exploring Posterior Distributions, The Annals of Statistics, vol.22, issue.4, pp.1701-1728, 1994. ,
DOI : 10.1214/aos/1176325750
Rejoinder: Markov Chains for Exploring Posterior Distributions, The Annals of Statistics, vol.22, issue.4, pp.1758-1762, 1994. ,
DOI : 10.1214/aos/1176325755
Some adaptive Monte Carlo methods for Bayesian inference, Statistics in Medicine, vol.43, issue.17-18, pp.2507-2515, 1999. ,
DOI : 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2507::AID-SIM272>3.0.CO;2-J
A Bayesian Joint Probability Approach for flood record augmentation, Water Resources Research, vol.21, issue.5, pp.1707-1712, 2001. ,
DOI : 10.1029/2000WR900401