Raphaël Huser

1. High-order Composite Likelihood Inference for Max-Stable Distributions\n and Processes
   2014/11/01 by Stefano Castruccio, Castruccio, Stefano, Raphaël Huser +4 · 4 citations
   Mathematics · Engineering · Decision Sciences · #Statistical Methods and Inference #Fault Detection and Control Systems #Advanced Statistical Process Monitoring
2. A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation
   2018/05/16 by Gregory P. Bopp, Bopp, Gregory P., Benjamin A. Shaby +3 · 4 citations
   Agricultural and Biological Sciences · Decision Sciences · Economics, Econometrics and Finance · #Agricultural risk and resilience #Applications (stat.AP) #FOS: Computer and information sciences #Spatial and Panel Data Analysis #demographic modeling and climate adaptation
3. Neural Methods for Amortized Inference
   2024/04/18 by Andrew Zammit‐Mangion, Matthew Sainsbury-Dale, Zammit-Mangion, Andrew +3 · 8 citations
   Computer Science · #Neural Networks and Applications
4. Bridging Asymptotic Independence and Dependence in Spatial Extremes Using Gaussian Scale Mixtures
   2016/10/14 by Raphaël Huser, Thomas Opitz, Huser, Raphael +3 · 3 citations
   Economics, Econometrics and Finance · Environmental Science · Social Sciences · #FOS: Computer and information sciences #Hydrology and Drought Analysis #Insurance, Mortality, Demography, Risk Management #Methodology (stat.ME) #Spatial and Panel Data Analysis
5. Factor Copula Models for Replicated Spatial Data
   2015/11/10 by Pavel Krupskii, Raphaël Huser, Krupskii, Pavel +3 · 3 citations
   Environmental Science · Economics, Econometrics and Finance · #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis #Financial Risk and Volatility Modeling
6. Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes
   2017/10/02 by Daniela Castro‐Camilo, Raphaël Huser, Castro-Camilo, Daniela +1 · 3 citations
   Economics, Econometrics and Finance · Environmental Science · Social Sciences · #Applications (stat.AP) #Climate variability and models #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Spatial and Panel Data Analysis
7. Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes
   2024/01/30 by Raphaël Huser, Thomas Opitz, Huser, Raphaël +3 · 5 citations
   Environmental Science · Computer Science · Engineering · #Soil Geostatistics and Mapping #Geochemistry and Geologic Mapping #Reservoir Engineering and Simulation Methods
8. Latent Gaussian Models for High-Dimensional Spatial Extremes
   2021/10/06 by Arnab Hazra, Hazra, Arnab, Raphaël Huser +3 · 2 citations
   Environmental Science · Economics, Econometrics and Finance · #Soil Geostatistics and Mapping #Remote Sensing and LiDAR Applications #Spatial and Panel Data Analysis
9. Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning
   2022/10/13 by Yan Gong, Gong, Yan, Peng Zhong +5 · 2 citations
   Mathematics · Computer Science · Biochemistry, Genetics and Molecular Biology · #Statistical Methods and Inference #Computational Drug Discovery Methods #Metabolomics and Mass Spectrometry Studies
10. Non-Stationary Dependence Structures for Spatial Extremes
    2014/11/12 by Raphaël Huser, Huser, Raphael, Marc G. Genton +1 · 1 citation
    Economics, Econometrics and Finance · Environmental Science · #FOS: Computer and information sciences #Financial Risk and Volatility Modeling #Hydrology and Drought Analysis #Methodology (stat.ME) #Soil Geostatistics and Mapping
11. Deep graphical regression for jointly moderate and extreme Australian wildfires
    2023/08/28 by Daniela Cisneros, J. Ian Richards, Cisneros, Daniela +7 · 3 citations
    Engineering · Environmental Science · #Applications (stat.AP) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Fire effects on ecosystems #Landslides and related hazards #Machine Learning (stat.ML)
12. Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
    2023/10/04 by Matthew Sainsbury-Dale, Sainsbury-Dale, Matthew, Andrew Zammit‐Mangion +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME)
13. Spatial modeling and future projection of extreme precipitation extents
    2022/12/06 by Peng Zhong, Manuela I. Brunner, Zhong, Peng +5 · 2 citations
    Decision Sciences · Environmental Science · #Applications (stat.AP) #Climate variability and models #FOS: Computer and information sciences #Hydrology and Drought Analysis #Methodology (stat.ME) #demographic modeling and climate adaptation
14. Extreme quantile regression with deep learning
    2024/04/14 by J. Ian Richards, Raphaël Huser, Richards, Jordan +1 · 3 citations
    Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Methodology (stat.ME)
15. The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency
    2024/08/13 by Junshu Jiang, J. Ian Richards, Jiang, Junshu +5 · 3 citations
    Decision Sciences · Economics, Econometrics and Finance · #Efficiency Analysis Using DEA #FOS: Economics and business #Forecasting Techniques and Applications #Monetary Policy and Economic Impact #Statistical Finance (q-fin.ST)
16. High-resolution Bayesian mapping of landslide hazard with unobserved trigger event
    2020/06/14 by Thomas Opitz, Opitz, Thomas, Haakon Bakka +5 · 1 citation
    Environmental Science · #FOS: Computer and information sciences #Landslides and related hazards #Methodology (stat.ME) #Remote Sensing in Agriculture #Soil Geostatistics and Mapping
17. Statistics of Extremes for Neuroscience
    2024/04/14 by Paolo Victor Redondo, Matheus B. Guerrero, Redondo, Paolo V. +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Applications (stat.AP) #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Methodology (stat.ME)
18. Flexible and efficient emulation of spatial extremes processes via variational autoencoders
    2023/07/16 by Likun Zhang, Zhang, Likun, Xiaoyu Ma +5 · 2 citations
    Earth and Planetary Sciences · Environmental Science · #60G70 #62H11 (Secondary) #68T07 (Primary) #Climate variability and models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Methodology (stat.ME) #Oceanographic and Atmospheric Processes
19. Neural Conditional Simulation for Complex Spatial Processes
    2025/08/27 by Julia Walchessen, Andrew Zammit-Mangion, Walchessen, Julia +5 · 2 citations
    #stat.ME #stat.ML
20. Hierarchical Archimax copulas
    2017/07/03 by Marius Hofert, Raphaël Huser, Hofert, Marius +3 · 1 citation
    Economics, Econometrics and Finance · #60E05 #62E15 #62H99 #Complex Systems and Time Series Analysis #FOS: Mathematics #Financial Risk and Volatility Modeling #Probability (math.PR) #Stochastic processes and financial applications
21. Modeling of spatial extremes in environmental data science: time to move away from max-stable processes
    2025/01/01 by Raphaël Huser, Thomas Opitz, Jennifer L. Wadsworth · 1 voice · 2 citations
    Environmental Science · #Atmospheric and Environmental Gas Dynamics #Climate variability and models #Soil Geostatistics and Mapping
22. At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
    2024/01/25 by Ashok Dahal, Dahal, Ashok, Raphaël Huser +3 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Flood Risk Assessment and Management #Geophysics (physics.geo-ph) #Landslides and related hazards #Machine Learning (cs.LG) #Machine Learning (stat.ML)
23. Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties
    2022/10/11 by Xuanjie Shao, Arnab Hazra, Shao, Xuanjie +5 · 1 citation
    Environmental Science · Mathematics · #Climate variability and models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical and numerical algorithms
24. Spectral Extremal Connectivity of Two-State Seizure Brain Waves
    2025/03/06 by Mara Sherlin Talento, J. Ian Richards, Talento, Mara Sherlin D. +7 · 2 citations
    Neuroscience · #Applications (stat.AP) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Methodology (stat.ME) #Neural dynamics and brain function