Generalized pareto regression trees for extreme event analysis
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/03/23
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Journal
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Indian UGC (journal)
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Refrences47
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Sébastien Farkas
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Antoine Heranval
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Olivier Lopez
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Maud Thomas
Cite
Farkas, Sébastien, et al. “Generalized Pareto Regression Trees for Extreme Event Analysis”. Extremes, 2024, https://doi.org/10.1007/s10687-024-00485-1.
Farkas, S., Heranval, A., Lopez, O., & Thomas, M. (2024). Generalized pareto regression trees for extreme event analysis. Extremes. https://doi.org/10.1007/s10687-024-00485-1
Farkas, Sébastien, Antoine Heranval, Olivier Lopez, and Maud Thomas. “Generalized Pareto Regression Trees for Extreme Event Analysis”. Extremes, 2024. https://doi.org/10.1007/s10687-024-00485-1.
Farkas S, Heranval A, Lopez O, Thomas M. Generalized pareto regression trees for extreme event analysis. Extremes. 2024;.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount | Environmetrics |
| 28 | 2020 |
| Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts | Journal of the American Statistical Association |
| 22 | 2019 |
Estimating precipitation extremes using the log‐histospline | Environmetrics |
| 15 | 2019 |
| Improving precipitation forecasts using extreme quantile regression | Extremes |
| 12 | 2019 |
| 10.1214/16-EJS1189 | Electronic Journal of Statistics |
| 2016 |