Publications

2026

1. Hal

   Penalized estimation of GEV parameters for extreme quantile regression

   L. M. Vidagbandji, A. Berred, C. Bertelle, and 1 more author

   Accepted in the Journal of Statistical Theory and Practice, 2026

   DOI Bib

   @article{VidagbandjiPenalized2025,
     title = { Penalized estimation of GEV parameters for extreme quantile regression},
     author = {Vidagbandji, L. M. and Berred, A. and Bertelle, C. and Amanton, L.},
     url = {https://hal.science/hal-05565729},
     doi = {https://hal.science/hal-05565729},
     journal = { Accepted in the Journal of Statistical Theory and Practice},
     volume = {},
     number = {},
     pages = {},
     year = {2026},
     publisher = {Springer}
   }

2025

1. CSSC

   Generalized random forest for extreme quantile regression

   L. M. Vidagbandji, A. Berred, C. Bertelle, and 1 more author

   Communications in Statistics - Simulation and Computation, 2025

   DOI Bib

   @article{vidagbandji_generalized_2025,
     title = {Generalized random forest for extreme quantile regression},
     issn = {1532-4141},
     doi = {10.1080/03610918.2025.2543854},
     url = {https://doi.org/10.1080/03610918.2025.2543854},
     journal = {Communications in Statistics - Simulation and Computation},
     author = {Vidagbandji, L. M. and Berred, A. and Bertelle, C. and Amanton, L.},
     publisher = {Publisher: Taylor \& Francis},
     pages = {1–24},
     year = {2025}
   }

2. Consistency of Weighted maximum likelihood estimator for extreme quantile regression

   L. M. Vidagbandji, A. Berred, C. Bertelle, and 1 more author

   to be Submitted, 2025

   Bib

   @article{VidagbandjiConsistency2025,
     title = { Consistency of Weighted maximum likelihood estimator for extreme quantile regression},
     author = {Vidagbandji, L. M. and Berred, A. and Bertelle, C. and Amanton, L.},
     journal = { to be Submitted},
     volume = {},
     number = {},
     pages = {},
     year = {2025},
     publisher = {}
   }