Robust heavy-tailed versions of generalized linear models with applications in actuarial science. Gagnon, P. & Wang, Y. Comput. Stat. Data Anal., 194:107920, 2024.
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Paper bibtex @article{journals/csda/GagnonW24,
added-at = {2024-12-09T00:00:00.000+0100},
author = {Gagnon, Philippe and Wang, Yuxi},
biburl = {https://www.bibsonomy.org/bibtex/2756c1f86b9efa93120b46c920ca53f2b/dblp},
ee = {https://doi.org/10.1016/j.csda.2024.107920},
interhash = {29d96d5115480b900c1ec78fce9b06b8},
intrahash = {756c1f86b9efa93120b46c920ca53f2b},
journal = {Comput. Stat. Data Anal.},
keywords = {dblp},
pages = 107920,
timestamp = {2024-12-16T07:03:22.000+0100},
title = {Robust heavy-tailed versions of generalized linear models with applications in actuarial science.},
url = {http://dblp.uni-trier.de/db/journals/csda/csda194.html#GagnonW24},
volume = 194,
year = 2024
}
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