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A folding method for extreme quantiles estimation

Armelle Guillou , Philippe Naveau , Alexandre You
REVSTAT - Statistical Journal, 2010, 8 (1), pp.21-35
Article dans une revue hal-03224159v1
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Bayesian multiple change points and segmentation: Application to homogenization of climatic series

A. Hannart , P. Naveau
Water Resources Research, 2009, 45 (10), ⟨10.1029/2008WR007689⟩
Article dans une revue istex hal-03197086v1
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A VAE approach to sample multivariate extremes

Nicolas Lafon , Philippe Naveau , Ronan Fablet
2023
Pré-publication, Document de travail hal-04013214v2
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A folding methodology for multivariate extremes: estimation of the spectral probability measure and actuarial applications

Armelle Guillou , Philippe Naveau , Alexandre You
Scandinavian Actuarial Journal, 2015, 2015 (7), ⟨10.1080/03461238.2013.864326⟩
Article dans une revue hal-01312987v1

Improving probability-weighted moment methods for the generalized extreme value distribution

Jean Diebolt , Armelle Guillou , P. Naveau , P. Ribereau
REVSTAT - Statistical Journal, 2008, 6 (1), pp.33-50
Article dans une revue hal-00259348v1
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Detecting spatial patterns with the cumulant function – Part 2: An application to El Niño

A. Bernacchia , P. Naveau , M. Vrac , Pascal Yiou
Nonlinear Processes in Geophysics, 2008, 15 (1), pp.169-177. ⟨10.5194/npg-15-169-2008⟩
Article dans une revue hal-00331114v1

Truncated skew-normal distributions: moments, estimation by weighted moments and application to climatic data

Cedric Flecher , Denis Allard , P. Naveau
METRON, 2010, 68 (3), pp.331-345
Article dans une revue hal-02657832v1
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Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics

Maxime Taillardat , Olivier Mestre , Michaël Zamo , Philippe Naveau
Monthly Weather Review, 2016, 144 (6), pp.2375-2393. ⟨10.1175/MWR-D-15-0260.1⟩
Article dans une revue meteo-03544106v1

A note of caution when interpreting parameters of the distribution of excesses

Pierre Ribereau , Philippe Naveau , Armelle Guillou
Advances in Water Resources, 2011, 34 (10), pp.1215-1221. ⟨10.1016/j.advwatres.2011.05.003⟩
Article dans une revue hal-03203094v1
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A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates

Erwan Koch , Philippe Naveau
Advances in Water Resources, 2015, 78, pp.145 - 154. ⟨10.1016/j.advwatres.2015.01.001⟩
Article dans une revue hal-01806250v1
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Probabilities of Causation of Climate Changes

Alexis Hannart , Philippe Naveau
Journal of Climate, 2018, ⟨10.1175/JCLI-D-17-0304.1⟩
Article dans une revue hal-02410902v1
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Why climate sensitivity may not be so unpredictable ?

Alexis Hannart , Jean-Louis Dufresne , Philippe Naveau
Geophysical Research Letters, 2009, 36, pp.L16707. ⟨10.1029/2009GL039640⟩
Article dans une revue hal-00423477v1
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Urban heat island estimation from crowdsensing thermometers embedded in personal cars

Eva Marquès , Valéry Masson , Philippe Naveau , Olivier Mestre , Vincent Dubreuil , et al.
Bulletin of the American Meteorological Society, 2022, ⟨10.1175/BAMS-D-21-0174.1⟩
Article dans une revue halshs-03582141v1
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A comparison of moderate and extreme ERA-5 daily precipitation with two observational data sets

Pauline Rivoire , Olivia Martius , Philippe Naveau
2021
Pré-publication, Document de travail hal-03160181v1
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On the evaluation of climate model simulated precipitation extremes

Andrea Toreti , Philippe Naveau
Environmental Research Letters, 2015, 10 (1), pp.014012. ⟨10.1088/1748-9326/10/1/014012⟩
Article dans une revue hal-03218338v1
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DADA: Data Assimilation for the Detection and Attribution of weather- and climate-related events

Alexis Hannart , Alberto Carrassi , Marc Bocquet , Michael Ghil , Philippe Naveau , et al.
Climatic Change, 2016, 136 (2), pp.155-174. ⟨10.1007/s10584-016-1595-3⟩
Article dans une revue hal-01356197v1

Homogenization of climatic series via pairwise comparisons: An automated Bayesian algorithm

Alexis Hannart , O. Mestre , Philippe Naveau
EGU General Assembly 2009, Apr 2009, Vienna, Austria. pp.10948
Communication dans un congrès hal-04113642v1
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Modeling pairwise dependencies in precipitation intensities

Mathieu Vrac , Philippe Naveau , Philippe Drobinski
Nonlinear Processes in Geophysics, 2007, 14 (6), pp.789-797
Article dans une revue hal-00252978v1

Modeling skewness in spatial data analysis without data transformation

P. Naveau , Denis Allard
7. International Geostatistics Congress, Sep 2004, Banff AB, Canada
Communication dans un congrès hal-02760917v1
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Modeling pairwise dependencies in precipitation intensities

M. Vrac , P. Naveau , P. Drobinski
Nonlinear Processes in Geophysics, 2007, 14 (6), pp.789-797. ⟨10.5194/npg-14-789-2007⟩
Article dans une revue hal-00331108v1

CMIP6 models evaluation using multi-resolution analysis and satellite observations : study of the atmospheric water vapor

Cedric Gacial Ngoungué Langué , Hélène Brogniez , Philippe Naveau
EGU General Assembly 2024, Apr 2024, Vienna, Austria. pp.EGU24-10136, ⟨10.5194/egusphere-egu24-10136⟩
Communication dans un congrès insu-04510315v1
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Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods

Nicolas Lafon , Ronan Fablet , Philippe Naveau
Journal of Advances in Modeling Earth Systems, 2023, 15 (11), pp.e2022MS003446. ⟨10.1029/2022MS003446⟩
Article dans une revue hal-04013195v2
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Characterization of homogeneous regions for regional peaks-over-threshold modeling of heavy precipitation

Julie Carreau , Philippe Naveau , Luc Neppel
2016
Pré-publication, Document de travail ird-01331374v1
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Projections of global changes in precipitation extremes from Coupled Model Intercomparison Project Phase 5 models

Andrea Toreti , Philippe Naveau , Matteo Zampieri , Anne Schindler , Enrico Scoccimarro , et al.
Geophysical Research Letters, 2013, 40 (18), pp.4887-4892. ⟨10.1002/grl.50940⟩
Article dans une revue hal-03210263v1

A limiting distribution for maxima of discrete stationary triangular arrays with an application to risk due to avalanches

Pascal Sielenou Dkengne , Nicolas Eckert , Philippe Naveau
Extremes, 2016, 19 (1), pp.25 - 40. ⟨10.1007/s10687-015-0234-0⟩
Article dans une revue hal-01587363v1
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Detecting spatial patterns with the cumulant function – Part 1: The theory

A. Bernacchia , P. Naveau
Nonlinear Processes in Geophysics, 2008, 15 (1), pp.159-167. ⟨10.5194/npg-15-159-2008⟩
Article dans une revue hal-00331113v1

Narrowing uncertainties in climate projections using data science tools

Pierre Tandeo , Pierre Ailliot , Christophe Bello , Bertrand Chapron , Trang Chau , et al.
3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography, Apr 2021, Brest, France
Communication dans un congrès hal-03279029v1
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Flexible semiparametric Generalized Pareto modeling of the entire range of rainfall amount

Patricia Tencaliec , Anne-Catherine Favre , Philippe Naveau , Clémentine Prieur , Gilles Nicolet
Environmetrics, 2019, 31 (2), pp.e2582:1-28. ⟨10.1002/env.2582⟩
Article dans une revue hal-01709061v2
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Modeling Uncertainties in Lichenometry Studies

Philippe Naveau , Vincent Jomelli , Daniel Cooley , Grancher Delphine , Antoine Rabatel
Arctic, Antarctic, and Alpine Research, 2007, 39 (2), pp.277-285. ⟨10.1657/1523-0430(2007)39[277:MUILS]2.0.CO;2⟩
Article dans une revue hal-03191580v1

Autoregressive models for maxima and their applications to CH4 and N2O

Gwladys Toulemonde , Armelle Guillou , Philippe Naveau , Mathieu Vrac , Frederic Chevallier
Environmetrics, 2010, 21 (2), pp.189-207. ⟨10.1002/env.992⟩
Article dans une revue istex hal-00800115v1