activity
20222026
most citedProper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation

10 citations · 16 across the 5 of their papers we have counts for

collaborators

7 papers

physics.ao-ph2026

A dataset of one-dimensional idealized probabilistic fields

Gregor Skok, Romain Pic

Verification of probabilistic weather forecasts remains a crucial aspect of numerical weather prediction, as new AI-based models become more widely used alongside the more traditio…

stat.ME2026

Spatial Aggregation of ROC and Precision-Recall Curves

Romain Pic, Zhongwei Zhang, Sebastian Engelke +1

Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves are widely used to assess the discrimination ability of forecasts for binary events, such as threshold exce…

stat.ML2024

Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts

Romain Pic, Clément Dombry, Philippe Naveau +1

Accurate precipitation forecasts have a high socio-economic value due to their role in decision-making in various fields such as transport networks and farming. We propose a global…

stat.ME2024★ 10 cited

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation

Romain Pic, Clément Dombry, Philippe Naveau +1

Proper scoring rules are an essential tool to assess the predictive performance of probabilistic forecasts. However, propriety alone does not ensure an informative characterization…

stat.AP2023

A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles

Zeina Al Masry, Romain Pic, Clément Dombry +1

Introduction: The Oncotype DX (ODX) test is a commercially available molecular test for breast cancer assay that provides prognostic and predictive breast cancer recurrence informa…

math.ST2023

Stone's theorem for distributional regression in Wasserstein distance

Clément Dombry, Thibault Modeste, Romain Pic

We extend the celebrated Stone's theorem to the framework of distributional regression. More precisely, we prove that weighted empirical distribution with local probability weights…

math.ST2022★ 6 cited

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

Romain Pic, Clément Dombry, Philippe Naveau +1

The theoretical advances on the properties of scoring rules over the past decades have broadened the use of scoring rules in probabilistic forecasting. In meteorological forecastin…