Guryev, Ruslan and Kuzmenko, Valentin and Platinskii, Stepan and Saralpov, Idar and Rodionov, Igor (2026) Univariate modelling of multivariate precipitation extremes using the block quantiles method. Extremes. DOI https://doi.org/10.1007/s10687-026-00549-4
Guryev, Ruslan and Kuzmenko, Valentin and Platinskii, Stepan and Saralpov, Idar and Rodionov, Igor (2026) Univariate modelling of multivariate precipitation extremes using the block quantiles method. Extremes. DOI https://doi.org/10.1007/s10687-026-00549-4
Guryev, Ruslan and Kuzmenko, Valentin and Platinskii, Stepan and Saralpov, Idar and Rodionov, Igor (2026) Univariate modelling of multivariate precipitation extremes using the block quantiles method. Extremes. DOI https://doi.org/10.1007/s10687-026-00549-4
Abstract
This paper presents the approach of Team Moscow State to solving the tasks of the EVA (2025) Conference Data Challenge. Although the challenge tasks were originally formulated in a multivariate setting, they can be reformulated as problems of univariate statistics of extremes, which largely determined our approach to their solution. It relies on a unified framework that combines classical techniques of statistics of extremes with the recently proposed block quantiles method.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Block quantiles method; Generalised Pareto distribution; Precipitation extremes; Statistics of extremes |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 11 Nov 2026 15:17 |
| Last Modified: | 11 Nov 2026 15:18 |
| URI: | http://repository.essex.ac.uk/id/eprint/43806 |
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