Ear, P., Di Bernardino, E., Laloë, T. et al. Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes. Atmosphere (2025). Article link.
Ear, P., Di Bernardino, E., Laloë, T. et al. A semi-parametric distribution stitch based on the Berk-Jones test for French daily precipitation bias correction. Stoch Environ Res Risk Assess (2025). Article link.
Ear, P., Di Bernardino, E., Laloë, T., A modified Berk-Jones statistical test and application to climate data, 2024 IMS International Conference on Statistics and Data Science, Nice, France, 16-19 Dec 2024. Link to poster.
Ear, P., Di Bernardino, E., Laloë, T., Troin, M., and Lambert, A.: How to select the right parametric model for daily precipitation ? Impact of distribution tails on goodness-of-fit test, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7662. Link. Link to poster.
Ear, P., Di Bernardino, E., Laloë, T. et al, Distribution composite basée sur le test de Berk-Jones pour la correction de biais saisonnière de précipitations journalières. 56e Journées De Statistique de la SFdS, Marseille, 2-6 June 2025. Link.
Ear, P., Di Bernardino, E., Laloë, T. et al, Seasonal bias-correction of daily precipitation over France using a stitch model designed for robust extremes representation. 3rd Workshop on "Bias Correction in Climate Studies", Paris, 26-28 May. Link.