Philippe Naveau

发表

The pairwise beta distribution: A flexible parametric multivariate model for extremes

Daniel Cooley, Richard A. Davis, Philippe Naveau, 2010, J. Multivar. Anal..

Time series analysis with a skewed Kalman filter

Philippe Naveau, G. Genton, Caspar M. Ammann, 2004 .

An automatized homogenization procedure via pairwise comparisons with application to Argentinean temperature series

Olivier Mestre, Philippe Naveau, Alexis Hannart, 2014 .

Identifying local smoothness for spatially inhomogeneous functions

Hee-Seok Oh, Philippe Naveau, Dong-Ik Jang, 2017, Comput. Stat..

Probabilities of Causation of Climate Changes

Philippe Naveau, Alexis Hannart, P. Naveau, 2017, Journal of Climate.

Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions

Philippe Naveau, Maxime Taillardat, Anne-Laure Fougeres, 2019, International Journal of Forecasting.

Clustering of Maxima: Spatial Dependencies among Heavy Rainfall in France

Mathieu Vrac, Olivier Mestre, Philippe Naveau, 2013 .

Non-Linear Models for Extremal Dependence

Philippe Naveau, Valérie Chavez-Demoulin, Linda Mhalla, 2016, J. Multivar. Anal..

Optimal fingerprinting under multiple sources of uncertainty

Philippe Naveau, Aurélien Ribes, Alexis Hannart, 2014 .

Revising Return Periods for Record Events in a Climate Event Attribution Context

Philippe Naveau, Pascal Yiou, Aurélien Ribes, 2018 .

A non‐parametric entropy‐based approach to detect changes in climate extremes

Philippe Naveau, Armelle Guillou, Théo Rietsch, 2014 .

Extracting a Common Signal in Tree Ring Widths with a Semi-parametric Bayesian Hierarchical Model

Philippe Naveau, Ophélie Guin, Jean-Jacques Boreux, 2018, Journal of Agricultural, Biological and Environmental Statistics.

Forest-Based and Semiparametric Methods for the Postprocessing of Rainfall Ensemble Forecasting

Olivier Mestre, Philippe Naveau, Anne-Laure Fougères, 2019, Weather and Forecasting.

Polynomial wavelet regression for images with irregular boundaries

Hee-Seok Oh, Philippe Naveau, P. Naveau, 2004, IEEE Transactions on Image Processing.

Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework

Philippe Naveau, Alexis Hannart, P. Naveau, 2014, J. Multivar. Anal..

Forecast score distributions with imperfect observations

Philippe Naveau, Julie Bessac, P. Naveau, 2018, Advances in Statistical Climatology, Meteorology and Oceanography.

Non-parametric multimodel Regional Frequency Analysis applied to climate change detection and attribution

Anne-Catherine Favre, Philippe Naveau, Alexandre Tuel, 2021, 2111.00798.

Stable sums to infer high return levels of multivariate rainfall time series

Philippe Naveau, Gloria Buritic'a, 2021 .

High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalized extreme value distributions

Anne-Catherine Favre, Philippe Naveau, Olivia Martius, 2021, Weather and Climate Extremes.

Editorial to the special issue: Statistical modeling of environmental extremes

Philippe Naveau, Dan Cooley, 2021 .

Probability distributions for analog-to-target distances

Pierre Tandeo, Philippe Naveau, Pascal Yiou, 2021, Journal of the Atmospheric Sciences.

Combining random forests and class-balancing to discriminate between three classes of avalanche activity in the French Alps

Nicolas Eckert, Philippe Naveau, Samuel Morin, 2021, Cold Regions Science and Technology.

Evaluation of binary classifiers for asymptotically dependent and independent extremes

Marco Oesting, Philippe Naveau, Juliette Legrand, 2021 .

Spatial clustering of summer temperature maxima from the CNRM-CM5 climate model ensembles & E-OBS over Europe

Eric Gilleland, Philippe Naveau, P. Naveau, 2015 .

Nonlinear Processes in Geophysics Detecting spatial patterns with the cumulant function – Part 1 : The theory

Philippe Naveau, Alberto Bernacchia, A. Bernacchia, 2008 .

Bayesian multiple change points and segmentation: Application to homogenization of climatic series

Philippe Naveau, Alexis Hannart, P. Naveau, 2009 .

IMPROVING PROBABILITY-WEIGHTED MOMENT METHODS FOR THE GENERALIZED EXTREME VALUE DISTRIBUTION

Philippe Naveau, Armelle Guillou, Jean Diebolt, 2008 .

A Bayesian hierarchical extreme value model for lichenometry

Vincent Jomelli, Philippe Naveau, Antoine Rabatel, 2006 .

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

Philippe Naveau, Armelle Guillou, Pierre Ribereau, 2011 .

Stochastic weather generators: an overview of weather type models

Pierre Ailliot, Philippe Naveau, Denis Allard, 2015 .

Multimodel Combination by a Bayesian Hierarchical Model: Assessment of Ice Accumulation over the Oceanic Arctic Region

Philippe Naveau, Elena Maksimovich, Paul-Antoine Michelangeli, 2010 .

Forest-Based and Semiparametric Methods for the Postprocessing of Rainfall Ensemble Forecasting

Philippe Naveau, Maxime Taillardat, Anne-Laure Fougeres, 2017, Weather and Forecasting.

Stochastic downscaling of precipitation: From dry events to heavy rainfalls

Philippe Naveau, P. Naveau, M. Vrac, 2007 .

Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts

Philippe Naveau, Michaël Zamo, P. Naveau, 2018, Mathematical Geosciences.

Autoregressive models for maxima and their applications to CH4 and N2O

Mathieu Vrac, Philippe Naveau, Armelle Guillou, 2009 .

Spatial dependences among precipitation maxima over Belgium

Philippe Naveau, S. Vannitsem, P. Naveau, 2007 .

Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data

Richard A. Davis, Philippe Naveau, Daniel Cooley, 2012, 1301.1428.

Multi-resolution time series analysis applied to solar irradiance and climate reconstructions

Hee-Seok Oh, Philippe Naveau, Caspar M. Ammann, 2003 .

Hybrid wavelet denoising procedure of discontinuous surfaces

Hee-Seok Oh, Philippe Naveau, Donghoh Kim, 2011 .

Detecting spatial patterns with the cumulant function – Part 2: An application to El Niño

Mathieu Vrac, Philippe Naveau, Alberto Bernacchia, 2007 .

Forecast evaluation with imperfect observations and imperfect models.

Philippe Naveau, Julie Bessac, P. Naveau, 2018, 1806.03745.

Estimating return levels from maxima of non-stationary random sequences using the Generalized PWM method

Philippe Naveau, Armelle Guillou, Pierre Ribereau, 2008 .

A New Spatial Skew-Normal Random Field Model

Philippe Naveau, Denis Allard, D. Allard, 2007 .

Estimating the closed skew-normal distribution parameters using weighted moments

Philippe Naveau, Denis Allard, D. Allard, 2009 .

Modeling jointly low, moderate, and heavy rainfall intensities without a threshold selection

Philippe Naveau, Alexis Hannart, Raphaël Huser, 2016 .

Modelling pairwise dependence of maxima in space

Daniel Cooley, Philippe Naveau, Armelle Guillou, 2009 .

Polynomial boundary treatment for wavelet regression

Hee-Seok Oh, Philippe Naveau, P. Naveau, 2001 .

Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics

Olivier Mestre, Philippe Naveau, Maxime Taillardat, 2016 .

Disconcerting learning on climate sensitivity and the uncertain future of uncertainty

Michael Ghil, Philippe Naveau, Alexis Hannart, 2013, Climatic Change.

Modeling Skewness in Spatial Data Analyis without Data Transformation

Philippe Naveau, Denis Allard, D. Allard, 2005 .

A statistical rainfall‐runoff mixture model with heavy‐tailed components

Philippe Naveau, Eric Sauquet, Julie Carreau, 2009 .