publications

2024

1. arXiv

   Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events

   O. C. Pasche, J. Wider, Z. Zhang, and 2 more authors

   submitted, 2024

   Bib HTML

   @article{Zhang_DeepLearningWeather,
     author = {Pasche, O. C. and Wider, J. and Zhang, Z. and Zscheischler, J. and Engelke, S.},
     journal = {submitted},
     title = {Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events},
     year = {2024}
   }

2. arXiv

   Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches

   G. Buriticá, M. Henschel, O. C. Pasche, and 2 more authors

   submitted, 2024

   Bib HTML

   @article{Zhang_EVA2024,
     author = {Buriticá, G. and Henschel, M. and Pasche, O. C. and Röttger, F. and Zhang, Z.},
     journal = {submitted},
     title = {Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches},
     year = {2024}
   }

2023

1. arXiv

   Extremal dependence of moving average processes driven by exponential-tailed Lévy Noise

   Z. Zhang, D. Bolin, S. Engelke, and 1 more author

   submitted, 2023

   Bib HTML

   @article{Zhang_typeG2023,
     author = {Zhang, Z. and Bolin, D. and Engelke, S. and Huser, R.},
     journal = {submitted},
     title = {Extremal dependence of moving average processes driven by exponential-tailed {L\'evy} Noise},
     year = {2023}
   }

2. Biometrics

   Tractable Bayes of skew-elliptical link models for correlated binary data

   Z. Zhang, R. B. Arellano-Valle, M. G. Genton, and 1 more author

   Biometrics, 2023

   Bib HTML

   @article{Zhang_BayesBin2023,
     author = {Zhang, Z. and Arellano-Valle, R. B. and Genton, M. G. and Huser, R.},
     date-modified = {2023-09-15 20:27:13 +0200},
     journal = {Biometrics},
     number = {3},
     pages = {1788-1800},
     title = {Tractable {Bayes} of skew-elliptical link models for correlated binary data},
     volume = {79},
     year = {2023}
   }

3. Extremes

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

   Z. Zhang, E. Krainski, P. Zhong, and 2 more authors

   Extremes, 2023

   Bib HTML

   @article{Zhang_SPDE2023,
     author = {Zhang, Z. and Krainski, E. and Zhong, P. and Huser, R. and Rue, H.},
     journal = {Extremes},
     pages = {339--351},
     title = {Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the {INLA-SPDE} approach},
     volume = {26},
     year = {2023}
   }

2022

1. Extremes

   Modeling spatial extremes using normal mean-variance mixtures

   Z. Zhang, R. Huser, T. Opitz, and 1 more author

   Extremes, 2022

   Bib HTML

   @article{Zhang_NMVM2022,
     author = {Zhang, Z. and Huser, R. and Opitz, T. and Wadsworth, J. L.},
     journal = {Extremes},
     pages = {175--197},
     title = {Modeling spatial extremes using normal mean-variance mixtures},
     volume = {25},
     year = {2022}
   }