| 1. Bayesian extremes (organizer: Ben Shaby) |
1. Bayesian extremes (organizer: Ben Shaby) |
1. Bayesian extremes (organizer: Ben Shaby) |
| Brian Reich |
Miguel de Carvalho |
Ben Shaby |
| 2. Causal inference for extremes (organizer: Nicola Gnecco) |
2. Causal inference for extremes (organizer: Nicola Gnecco) |
2. Causal inference for extremes (organizer: Nicola Gnecco) |
| Linda Mhalla |
Ray (Shuyang) Bai |
Juan-Juan Cai |
| 3. Climate extremes: combining statistical and physical models (organizer: Kate Saunders) |
3. Climate extremes: combining statistical and physical models (organizer: Kate Saunders) |
3. Climate extremes: combining statistical and physical models (organizer: Kate Saunders) |
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| 4. Deep learning and amortised inference for extremes (organizer: Raphaël Huser) |
4. Deep learning and amortised inference for extremes (organizer: Raphaël Huser) |
4. Deep learning and amortised inference for extremes (organizer: Raphaël Huser) |
| Likun Zhang |
Raphaël Huser |
Mikael Kuusela |
| 5. Dependence models for multivariate extremes (organizer: Klaus Herrmann) |
5. Dependence models for multivariate extremes (organizer: Klaus Herrmann) |
5. Dependence models for multivariate extremes (organizer: Klaus Herrmann) |
| Samuel Valiquette |
Xiaoting Li |
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| 6. Extreme events in AI weather models (organizer: Sebastian Engelke) |
6. Extreme events in AI weather models (organizer: Sebastian Engelke) |
6. Extreme events in AI weather models (organizer: Sebastian Engelke) |
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| 7. Extremes in Earth, Ocean, and Atmospheric Sciences (organizer: Vladas Pipiras and Stilian Stoev) |
7. Extremes in Earth, Ocean, and Atmospheric Sciences (organizer: Vladas Pipiras and Stilian Stoev) |
7. Extremes in Earth, Ocean, and Atmospheric Sciences (organizer: Vladas Pipiras and Stilian Stoev) |
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| 8. Extremes in stochastic processes and time series (organizer: Ray (Shuyang) Bai) |
8. Extremes in stochastic processes and time series (organizer: Ray (Shuyang) Bai) |
8. Extremes in stochastic processes and time series (organizer: Ray (Shuyang) Bai) |
| Gennady Samorodnitsky |
Tiandong Wang |
Marco Oesting |
| 9. Financial and insurance extremes (organizer: Mélina Mailhot) |
9. Financial and insurance extremes (organizer: Mélina Mailhot) |
9. Financial and insurance extremes (organizer: Mélina Mailhot) |
| Debbie Dupuis |
Frédéric Godin |
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| 10. Forecast evaluation of extremes (organizer: Thordis Thorarinsdottir) |
10. Forecast evaluation of extremes (organizer: Thordis Thorarinsdottir) |
10. Forecast evaluation of extremes (organizer: Thordis Thorarinsdottir) |
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| 11. Generative AI for extremes (organizer: Miguel de Carvalho) |
11. Generative AI for extremes (organizer: Miguel de Carvalho) |
11. Generative AI for extremes (organizer: Miguel de Carvalho) |
| Sebastian Engelke |
Olivier Lopez |
Johnny Lee |
| 12. Geometric extremes (organizer: Natalia Nolde ) |
12. Geometric extremes (organizer: Natalia Nolde ) |
12. Geometric extremes (organizer: Natalia Nolde ) |
| Jennifer Wadsworth |
Ryan Campbell |
Natalia Nolde |
| 13. Graphical models in extremes (organizer: Michaël Lalancette) |
13. Graphical models in extremes (organizer: Michaël Lalancette) |
13. Graphical models in extremes (organizer: Michaël Lalancette) |
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| 14. Mathematical statistics of extremes (organizer: Stanislav Volgushev) |
14. Mathematical statistics of extremes (organizer: Stanislav Volgushev) |
14. Mathematical statistics of extremes (organizer: Stanislav Volgushev) |
| Axel Bücher |
Michaël Lalancette |
Johan Segers |
| 15. Multivariate regular variation and optimal transport (organizer: Johan Segers) |
15. Multivariate regular variation and optimal transport (organizer: Johan Segers) |
15. Multivariate regular variation and optimal transport (organizer: Johan Segers) |
| Ioannis Papastathopoulos |
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| 16. Statistical challenges in univariate extremes (organizer: Emma Simpson) |
16. Statistical challenges in univariate extremes (organizer: Emma Simpson) |
16. Statistical challenges in univariate extremes (organizer: Emma Simpson) |
| Paul Northrop |
Léo Belzile |
Ilaria Prosdocimi |
| 17. Statistical machine learning and high-dimensional extremes (organizer: Anne Sabourin) |
17. Statistical machine learning and high-dimensional extremes (organizer: Anne Sabourin) |
17. Statistical machine learning and high-dimensional extremes (organizer: Anne Sabourin) |
| Stephan Clémençon |
Stanislav Volgushev |
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