OP
Pasche, Olivier
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Extreme conformal prediction: Reliable intervals for high-impact events | Extremes |  | 2026 | 1 | 0 | ||
| Methods for Forecasting Extreme Events with Machine Learning and Extreme Value Statistics | | 2026 | 109 | 68 | |||
| Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events | Artificial intelligence for the earth systems | | 2025 | 4 | 188 | ||
| Extreme Conformal Prediction: Reliable Intervals for High-Impact Events | | 2025 | 2 | 10 | |||
| Modeling extreme events: Univariate and multivariate data-driven approaches | Extremes | | 2025 | 2 | 33 | ||
| Granger Causality in Extremes | | 2024 | 2 | 42 | |||
| Neural networks for extreme quantile regression with an application to forecasting of flood risk | The annals of applied statistics | | 2024 | 1 | 74 | ||
| Causal modelling of heavy-tailed variables and confounders with application to river flow | Extremes | | 2023 | 2 | 6 | ||
| The Effect of a Short Observational Record on the Statistics of Temperature Extremes | Geophysical research letters | | 2023 | 4 | 9 |
