Search Results for author: Philippe Naveau

Found 5 papers, 1 papers with code

A VAE Approach to Sample Multivariate Extremes

1 code implementation19 Jun 2023 Nicolas Lafon, Philippe Naveau, Ronan Fablet

We illustrate the relevance of our approach on a synthetic data set and on a real data set of discharge measurements along the Danube river network.

Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk

no code implementations9 May 2022 Romain Pic, Clément Dombry, Philippe Naveau, Maxime Taillardat

Numerous state-of-the-art statistical postprocessing techniques are based on distributional regression evaluated with the Continuous Ranked Probability Score (CRPS).

regression

Probability distributions for analog-to-target distances

no code implementations26 Jan 2021 Paul Platzer, Pascal Yiou, Philippe Naveau, Jean-François Filipot, Maxime Thiebaut, Pierre Tandeo

These findings are illustrated with numerical simulations of a well-known chaotic dynamical system and on 10m-wind reanalysis data in north-west France.

Dimensionality Reduction

Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions

no code implementations10 May 2019 Maxime Taillardat, Anne-Laure Fougères, Philippe Naveau, Raphaël de Fondeville

Verifying probabilistic forecasts for extreme events is a highly active research area because popular media and public opinions are naturally focused on extreme events, and biased conclusions are readily made.

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