Works by Huser, Raphaël

Results: 42

Likelihood-Free Parameter Estimation with Neural Bayes Estimators.

Published in:

American Statistician, 2024, v. 78, n. 1, p. 1, doi. 10.1080/00031305.2023.2249522

By:

Sainsbury-Dale, Matthew;
Zammit-Mangion, Andrew;
Huser, Raphaël

Publication type:

Article

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster.

Published in:

Stochastic Environmental Research & Risk Assessment, 2018, v. 32, n. 7, p. 2179, doi. 10.1007/s00477-018-1518-0

By:

Lombardo, Luigi;
Opitz, Thomas;
Huser, Raphaël

Publication type:

Article

Cover Image.

Published in:

WIREs: Computational Statistics, 2022, v. 14, n. 1, p. 1, doi. 10.1002/wics.1577

By:

Huser, Raphaël;
Wadsworth, Jennifer L.

Publication type:

Article

Advances in statistical modeling of spatial extremes.

Published in:

WIREs: Computational Statistics, 2022, v. 14, n. 1, p. 1, doi. 10.1002/wics.1537

By:

Huser, Raphaël;
Wadsworth, Jennifer L.

Publication type:

Article

Max‐infinitely divisible models and inference for spatial extremes.

Published in:

Scandinavian Journal of Statistics, 2021, v. 48, n. 1, p. 321, doi. 10.1111/sjos.12491

By:

Huser, Raphaël;
Opitz, Thomas;
Thibaud, Emeric

Publication type:

Article

Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach.

Published in:

Extremes, 2023, v. 26, n. 2, p. 339, doi. 10.1007/s10687-023-00463-z

By:

Zhang, Zhongwei;
Krainski, Elias;
Zhong, Peng;
Rue, Harvard;
Huser, Raphaël

Publication type:

Article

A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes.

Published in:

Extremes, 2023, v. 26, n. 2, p. 301, doi. 10.1007/s10687-022-00460-8

By:

Cisneros, Daniela;
Gong, Yan;
Yadav, Rishikesh;
Hazra, Arnab;
Huser, Raphaël

Publication type:

Article

Modeling spatial extremes using normal mean-variance mixtures.

Published in:

Extremes, 2022, v. 25, n. 2, p. 175, doi. 10.1007/s10687-021-00434-2

By:

Zhang, Zhongwei;
Huser, Raphaël;
Opitz, Thomas;
Wadsworth, Jennifer

Publication type:

Article

Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes.

Published in:

Extremes, 2021, v. 24, n. 1, p. 91, doi. 10.1007/s10687-019-00369-9

By:

Huser, Raphaël

Publication type:

Article

INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles.

Published in:

Extremes, 2018, v. 21, n. 3, p. 441, doi. 10.1007/s10687-018-0324-x

By:

Opitz, Thomas;
Huser, Raphaël;
Bakka, Haakon;
Rue, Håvard

Publication type:

Article

Likelihood estimators for multivariate extremes.

Published in:

Extremes, 2016, v. 19, n. 1, p. 79, doi. 10.1007/s10687-015-0230-4

By:

Huser, Raphaël;
Davison, Anthony;
Genton, Marc

Publication type:

Article

Practical strategies for generalized extreme value‐based regression models for extremes.

Published in:

Environmetrics, 2022, v. 33, n. 6, p. 1, doi. 10.1002/env.2742

By:

Castro‐Camilo, Daniela;
Huser, Raphaël;
Rue, Håvard

Publication type:

Article

Spatial hierarchical modeling of threshold exceedances using rate mixtures.

Published in:

Environmetrics, 2021, v. 32, n. 3, p. 1, doi. 10.1002/env.2662

By:

Yadav, Rishikesh;
Huser, Raphaël;
Opitz, Thomas

Publication type:

Article

Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs.

Published in:

Bioinformatics, 2020, v. 36, n. 4, p. 1121, doi. 10.1093/bioinformatics/btz703

By:

Alam, Tanvir;
Alazmi, Meshari;
Naser, Rayan;
Huser, Franceline;
Momin, Afaque A;
Astro, Veronica;
Hong, SeungBeom;
Walkiewicz, Katarzyna W;
Canlas, Christian G;
Huser, Raphaël;
Ali, Amal J;
Merzaban, Jasmeen;
Adamo, Antonio;
Jaremko, Mariusz;
Jaremko, Łukasz;
Bajic, Vladimir B;
Gao, Xin;
Arold, Stefan T

Publication type:

Article

Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides.

Published in:

Journal of Geophysical Research. Earth Surface, 2019, v. 124, n. 7, p. 1958, doi. 10.1029/2019JF005056

By:

Lombardo, Luigi;
Bakka, Haakon;
Tanyas, Hakan;
Westen, Cees;
Mai, P. Martin;
Huser, Raphaël

Publication type:

Article

Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations Open Access.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2025, v. 74, n. 3, p. 691, doi. 10.1093/jrsssc/qlae074

By:

Vandeskog, Silius M;
Huser, Raphaël;
Bruland, Oddbjørn;
Martino, Sara

Publication type:

Article

Seconder of the vote of thanks to Healy et al. and contribution to the Discussion of 'Inference for extreme spatial temperature events in a changing climate with application to Ireland'.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2025, v. 74, n. 2, p. 302, doi. 10.1093/jrsssc/qlae078

By:

Huser, Raphaël

Publication type:

Article

Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1139, doi. 10.1093/jrsssc/qlad077

By:

Yadav, Rishikesh;
Huser, Raphaël;
Opitz, Thomas;
Lombardo, Luigi

Publication type:

Article

Full likelihood inference for max-stable data.

Published in:

Stat, 2019, v. 8, n. 1, p. 1, doi. 10.1002/sta4.218

By:

Huser, Raphaël;
Dombry, Clément;
Ribatet, Mathieu;
Genton, Marc G.

Publication type:

Article

Visuanimation in statistics.

Published in:

Stat, 2015, v. 4, n. 1, p. 81, doi. 10.1002/sta4.77

By:

Genton, Marc G.;
Castruccio, Stefano;
Crippa, Paola;
Dutta, Subhajit;
Huser, Raphaël;
Sun, Ying;
Vettori, Sabrina

Publication type:

Article

Tractable Bayes of skew‐elliptical link models for correlated binary data.

Published in:

Biometrics, 2023, v. 79, n. 3, p. 1788, doi. 10.1111/biom.13731

By:

Zhang, Zhongwei;
Arellano‐Valle, Reinaldo B.;
Genton, Marc G.;
Huser, Raphaël

Publication type:

Article

Bayesian modeling of air pollution extremes using nested multivariate max‐stable processes.

Published in:

Biometrics, 2019, v. 75, n. 3, p. 831, doi. 10.1111/biom.13051

By:

Vettori, Sabrina;
Huser, Raphaël;
Genton, Marc G.

Publication type:

Article

Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides.

Published in:

Geophysical Research Abstracts, 2019, v. 21, p. 1

By:

Lombardo, Luigi;
Bakka, Haakon;
Tanyas, Hakan;
van Westen, Cees;
Mai, P. Martin;
Huser, Raphaël

Publication type:

Article

Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks.

Published in:

Geophysical Research Abstracts, 2018, v. 20, p. 3086

By:

Lombardo, Luigi;
Saia, Sergio;
Schillaci, Calogero;
Mai, Martin P.;
Huser, Raphaël

Publication type:

Article

Max-and-Smooth: A Two-Step Approach for Approximate Bayesian Inference in Latent Gaussian Models.

Published in:

Bayesian Analysis, 2021, v. 16, n. 2, p. 611, doi. 10.1214/20-BA1219

By:

Hrafnkelsson, Birgir;
Siegert, Stefan;
Huser, Raphaël;
Bakka, Haakon;
Jóhannesson, Árni V.

Publication type:

Article

Contributed Discussion.

Published in:

Bayesian Analysis, 2018, v. 13, n. 3, p. 982

By:

Bakka, Haakon C.;
Castro-Camilo, Daniela;
Franco-Villoria, Maria;
Freni-Sterrantino, Anna;
Huser, Raphaël;
Opit, Thomas;
Rue, Håvard

Publication type:

Article

Spatial Modeling and Future Projection of Extreme Precipitation Extents.

Published in:

Journal of the American Statistical Association, 2025, v. 120, n. 549, p. 80, doi. 10.1080/01621459.2024.2408045

By:

Zhong, Peng;
Brunner, Manuela;
Opitz, Thomas;
Huser, Raphaël

Publication type:

Article

A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation.

Published in:

Journal of the American Statistical Association, 2021, v. 116, n. 533, p. 93, doi. 10.1080/01621459.2020.1750414

By:

Bopp, Gregory P.;
Shaby, Benjamin A.;
Huser, Raphaël

Publication type:

Article

Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes.

Published in:

Journal of the American Statistical Association, 2020, v. 115, n. 531, p. 1037, doi. 10.1080/01621459.2019.1647842

By:

Castro-Camilo, Daniela;
Huser, Raphaël

Publication type:

Article

Modeling Spatial Processes with Unknown Extremal Dependence Class.

Published in:

Journal of the American Statistical Association, 2019, v. 114, n. 525, p. 434, doi. 10.1080/01621459.2017.1411813

By:

Huser, Raphaël;
Wadsworth, Jennifer L.

Publication type:

Article

Factor Copula Models for Replicated Spatial Data.

Published in:

Journal of the American Statistical Association, 2018, v. 113, n. 521, p. 467, doi. 10.1080/01621459.2016.1261712

By:

Krupskii, Pavel;
Huser, Raphaël;
Genton, Marc G.

Publication type:

Article

Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties.

Published in:

Technometrics, 2025, v. 67, n. 1, p. 97, doi. 10.1080/00401706.2024.2388549

By:

Shao, Xuanjie;
Hazra, Arnab;
Richards, Jordan;
Huser, Raphaël

Publication type:

Article

Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning.

Published in:

Technometrics, 2024, v. 66, n. 3, p. 331, doi. 10.1080/00401706.2024.2304334

By:

Gong, Yan;
Zhong, Peng;
Opitz, Thomas;
Huser, Raphaël

Publication type:

Article

Neural Bayes estimators for censored inference with peaks-over-threshold models.

Published in:

Journal of Machine Learning Research, 2024, v. 25, p. 1

By:

Richards, Jordan;
Sainsbury-Dale, Matthew;
Zammit-Mangion, Andrew;
Huser, Raphaël

Publication type:

Article

Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model.

Published in:

Journal of Agricultural, Biological & Environmental Statistics (JABES), 2024, v. 29, n. 2, p. 320, doi. 10.1007/s13253-023-00596-5

By:

Cisneros, Daniela;
Hazra, Arnab;
Huser, Raphaël

Publication type:

Article

A Spliced Gamma-Generalized Pareto Model for Short-Term Extreme Wind Speed Probabilistic Forecasting.

Published in:

Journal of Agricultural, Biological & Environmental Statistics (JABES), 2019, v. 24, n. 3, p. 517, doi. 10.1007/s13253-019-00369-z

By:

Castro-Camilo, Daniela;
Huser, Raphaël;
Rue, Håvard

Publication type:

Article

Non-Stationary Dependence Structures for Spatial Extremes.

Published in:

Journal of Agricultural, Biological & Environmental Statistics (JABES), 2016, v. 21, n. 3, p. 470, doi. 10.1007/s13253-016-0247-4

By:

Huser, Raphaël;
Genton, Marc

Publication type:

Article

Space–time landslide hazard modeling via Ensemble Neural Networks.

Published in:

Natural Hazards & Earth System Sciences, 2024, v. 24, n. 3, p. 823, doi. 10.5194/nhess-24-823-2024

By:

Dahal, Ashok;
Tanyas, Hakan;
van Westen, Cees;
van der Meijde, Mark;
Mai, Paul Martin;
Huser, Raphaël;
Lombardo, Luigi

Publication type:

Article

Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models.

Published in:

Journal of Computational & Graphical Statistics, 2024, v. 33, n. 3, p. 978, doi. 10.1080/10618600.2023.2285332

By:

Huser, Raphaël;
Stein, Michael L.;
Zhong, Peng

Publication type:

Article

Bayesian Model Averaging Over Tree-based Dependence Structures for Multivariate Extremes.

Published in:

Journal of Computational & Graphical Statistics, 2020, v. 29, n. 1, p. 174, doi. 10.1080/10618600.2019.1647847

By:

Vettori, Sabrina;
Huser, Raphaël;
Segers, Johan;
Genton, Marc G.

Publication type:

Article

High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes.

Published in:

Journal of Computational & Graphical Statistics, 2016, v. 25, n. 4, p. 1212, doi. 10.1080/10618600.2015.1086656

By:

Castruccio, Stefano;
Huser, Raphaël;
Genton, Marc G.

Publication type:

Article

Nonstationary Positive Definite Tapering On The Plane.

Published in:

Journal of Computational & Graphical Statistics, 2013, v. 22, n. 4, p. 848, doi. 10.1080/10618600.2012.729982

By:

Anderes, Ethan;
Huser, Raphaël;
Nychka, Douglas;
Coram, Marc

Publication type:

Article