Opitz, Thomas

1. Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
   2021/05/17 by Jonathan Koh, François Pimont, Koh, Jonathan +5 · 4 citations
   Earth and Planetary Sciences · Environmental Science · #Aeolian processes and effects #Applications (stat.AP) #FOS: Computer and information sciences #Fire effects on ecosystems #Methodology (stat.ME) #Remote Sensing in Agriculture
2. Bridging Asymptotic Independence and Dependence in Spatial Extremes Using Gaussian Scale Mixtures
   2016/10/14 by Huser, Raphael, Opitz, Thomas, Thibaud, Emeric · 3 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
3. Spatial hierarchical modeling of threshold exceedances using rate mixtures
   2019/12/10 by Yadav, Rishikesh, Huser, Raphaël, Opitz, Thomas · 3 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
4. 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
5. Max-infinitely divisible models and inference for spatial extremes
   2018/01/09 by Huser, Raphael, Opitz, Thomas, Thibaud, Emeric · 2 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
6. INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
   2018/02/04 by Opitz, Thomas, Huser, Raphaël, Bakka, Haakon +1 · 2 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
7. Extremal dependence of random scale constructions
   2018/03/12 by Engelke, Sebastian, Opitz, Thomas, Wadsworth, Jennifer · 2 citations
   #60E05 #60G70 #62H20 #FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)
8. A modeler's guide to extreme value software
   2022/05/16 by Léo R. Belzile, Belzile, Léo R., Christophe Dutang +5 · 2 citations
   Economics, Econometrics and Finance · Social Sciences · #60-04 #62G32 #Computation (stat.CO) #FOS: Computer and information sciences #Firm Innovation and Growth #Insurance, Mortality, Demography, Risk Management #Monetary Policy and Economic Impact
9. Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
   2022/05/20 by Yadav, Rishikesh, Huser, Raphaël, Opitz, Thomas +1 · 2 citations
   #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
10. 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
11. Pareto processes for threshold exceedances in spatial extremes
    2024/07/08 by Dombry, Clement, Legrand, Juliette, Opitz, Thomas · 3 citations
    #FOS: Mathematics #Statistics Theory (math.ST)
12. A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data
    2021/12/17 by Yadav, Rishikesh, Huser, Raphaël, Opitz, Thomas · 2 citations
    #FOS: Computer and information sciences #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. Latent Gaussian modeling and INLA: A review with focus on space-time applications
    2017/08/09 by Thomas Opitz, Opitz, Thomas · 1 citation
    Environmental Science · Mathematics · Economics, Econometrics and Finance · #Soil Geostatistics and Mapping #Statistical Methods and Bayesian Inference #Spatial and Panel Data Analysis
15. Exceedance-based nonlinear regression of tail dependence
    2018/02/05 by Mhalla, Linda, Opitz, Thomas, Chavez-Demoulin, Valérie · 1 citation
    #FOS: Computer and information sciences #Methodology (stat.ME)
16. Semi-parametric resampling with extremes
    2020/02/19 by Opitz, Thomas, Allard, Denis, Mariéthoz, Grégoire · 1 citation
    #FOS: Computer and information sciences #Methodology (stat.ME)
17. Point-process based Bayesian modeling of space-time structures of forest fire occurrences in Mediterranean France
    2020/02/19 by Opitz, Thomas, Bonneu, Florent, Gabriel, Edith · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
18. Exact Simulation of Max-Infinitely Divisible Processes
    2021/02/28 by Zhong, Peng, Huser, Raphaël, Opitz, Thomas · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)