Raphaël Huser
Cited by
Cited by
Space–time modelling of extreme events
R Huser, AC Davison
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014
Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression
SB Taieb, R Huser, RJ Hyndman, MG Genton
IEEE Transactions on Smart Grid 7 (5), 2448-2455, 2016
Statistics of extremes
AC Davison, R Huser
Annual Review of Statistics and its Application 2, 203-235, 2015
Composite likelihood estimation for the Brown–Resnick process
R Huser, AC Davison
Biometrika 100 (2), 511-518, 2013
Modeling jointly low, moderate, and heavy rainfall intensities without a threshold selection
P Naveau, R Huser, P Ribereau, A Hannart
Water Resources Research 52 (4), 2753-2769, 2016
Geostatistics of dependent and asymptotically independent extremes
AC Davison, R Huser, E Thibaud
Mathematical Geosciences 45 (5), 511-529, 2013
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
D Castro-Camilo, L Lombardo, PM Mai, J Dou, R Huser
Environmental Modeling & Software 97, 145-156, 2017
High-order composite likelihood inference for max-stable distributions and processes
S Castruccio, R Huser, MG Genton
Journal of Computational and Graphical Statistics 25 (4), 1212-1229, 2016
Modeling spatial processes with unknown extremal dependence class
R Huser, JL Wadsworth
Journal of the American Statistical Association 114 (525), 434-444, 2019
Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures
R Huser, T Opitz, E Thibaud
Spatial Statistics 21 (A), 166-186, 2017
Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
L Lombardo, T Opitz, R Huser
Stochastic Environmental Research and Risk Assessment 32 (7), 2179-2198, 2018
Likelihood estimators for multivariate extremes
R Huser, AC Davison, MG Genton
Extremes 19 (1), 79-103, 2016
Non-stationary dependence structures for spatial extremes
R Huser, MG Genton
Journal of Agricultural, Biological, and Environmental Statistics 21 (3 …, 2016
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
T Opitz, R Huser, H Bakka, H Rue
Extremes 21 (3), 441-462, 2018
Factor copula models for replicated spatial data
P Krupskii, R Huser, MG Genton
Journal of the American Statistical Association 113 (521), 467-479, 2018
Space-time landslide predictive modelling
L Lombardo, T Opitz, F Ardizzone, F Guzzetti, R Huser
Earth-science reviews 209, 103318, 2020
Full likelihood inference for max‐stable data
R Huser, C Dombry, M Ribatet, MG Genton
Stat 8 (1), e218, 2019
Spatial extremes
AC Davison, R Huser, E Thibaud
Handbook of Environmental and Ecological Statistics, 711-744, 2019
Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides
L Lombardo, H Bakka, H Tanyas, C van Westen, PM Mai, R Huser
Journal of Geophysical Research: Earth Surface 124 (7), 1958-1980, 2019
Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks
L Lombardo, S Saia, C Schillaci, PM Mai, R Huser
Geoderma 318, 148-159, 2018
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