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PUBLICATIONS
La liste complète de mes publications est disponible ici.
Articles
récents (depuis 2020)
- A.Mefleh, R.Biard, C.Dombry, Z.Khraibani, Trend detection for heteroscedastic extremes. Extremes 23 (2020), 85-115. doi
- A.Mefleh, R.Biard, C.Dombry, Z.Khraibani, Permutation bootstrap in the block maxima method. Communications in Statistics - Simulation and Computation 50 (2021), 291-311. doi
- B.Bobbia, C.Dombry, D.Varron . Extreme quantile
regression in the proportional tail framework. Georgian Mathematical
Journal 175 (2021). doi
- C.Spychala, J.Armand, C.Dombry, C.Goga. Multivariate Statistical
Analysis for Exploring Road Crash Related Factors in the Franche-Comté
region of France.
Communications in Statistics - Case Studies and Data Analysis 7 (2021), 442 - 474. doi
- B.Bobbia, C.Dombry, D.Varron. The coupling method in extreme value theory. Bernoulli 27 (2021), 1824-1850. doi
- C.Dombry,
C.Tillier, O.Wintenberger, Hidden regular variation for point processes
and the single/multiple large point heuristic. Annals of Applied Probability 32 (2022), 191-234. doi
- J.Velthoen, C.Dombry, J.J.Cai, S.Engelke. Gradient boosting for extreme quantile regression. Extremes 26 (2023), 639-667. doi
- R.Pic, C.Dombry, P.Naveau, R.Taillardat. Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk. International Journal of Forecasting 39 (2023), 1564-1572. doi
- Z. Al Masry, R. Pic, C. Dombry, C. Devalland. A new methodology to
predict the oncotype scores based on clinico-pathological data with
similar tumor profiles. Breast Cancer Res Treat 3 (2024), 587-598. doi
- C.Dombry, Y.Esstafa, The vanishing learning rate asymptotic for linear L2-boosting. ESAIM:PS 28 (2024), 228-257. doi
- C.Dombry, J.-J. Duchamps, Infinitesimal Gradient Boosting. Stochastic Processes and Their Applications 170 (2024). doi
- C.Dombry, J.-J. Duchamps, A large sample theory for infinitesimal gradient boosting. Bernoulli 20 (2024), 1894-1920. doi
- C.Spychala, C.Dombry,
C.Goga. Variable selection methods for Log-Gaussian Cox Processes: a
case-study on accident data. Spatial Statistics 61, 2024. doi
- C. Dombry, T. Modeste, R. Pic. Stone's theorem for
distributional regression in Wasserstein distance. Journal of Non
Parametric Statistics (2024), 1-23. doi
- T. Modeste, C. Dombry. Characterization of translation
invariant MMD on R^d and connections with Wasserstein distances. Journal of Machine Learning Research 25 (2024), 1-39. link
Prépublications
- B. Bobbia, C. Dombry, D. Varron. A Donsker and Glivenko-Cantelli for random measures linked to extreme value theory. hal-03402380
- T. Modeste, C. Dombry. A.L. Fougeres. Modeling and scoring dynamic forecast. hal-04056397
- T. Modeste, C. Dombry. A.L. Fougeres. Testing ideal calibration for sequential prediction. hal-04679804
- C. Dombry, J. Legrand, T. Opitz. Pareto processes for spatial exceedances in spatial extremes. hal-04636190
- R. Pic, C. Dombry, P. Naveau, M. Taillardat.
Distributional regression U-Nets for the postprocessing of
precipitation ensemble forecasts. Submitted.
- R. Pic, C. Dombry, P. Naveau, M. Taillardat. Proper scoring
rules for multivariate probabilistic forecasts based on aggregation and
transformation. Submitted.
- C. Dombry, A. Zaoui. Distributional regression: CRPS-error
bounds for model fitting, model selection and model aggregation.
Submitted.
Thèse de Doctorat et Mémoire d'Habilitation
à Diriger des Recherches
- Mémoire
d'HDR intitulé "Théorie
spatiale des extrêmes et propriétés des
processus max-stables".
Télécharger
le mémoire (pdf)
- Thèse
de doctorat
intitulée "Quelques
applications de la
théorie des grandes déviations",
préparée sous la direction Christian Mazza et
Nadine Guillotin-Plantard.
Télécharger le résumé (pdf)
ou le mémoire (pdf)
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