Penalized likelihood methods for modeling count data

DOI10.1080/02664763.2022.2103101arXiv2109.14010OpenAlexW4286697373MaRDI QIDQ6089431

Akihito Kamata, Cornelis J. Potgieter, Unnamed Author

Publication date: 14 December 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2109.14010

zbMATH Keywords

cross-validationpenalized maximum likelihoodcount data modelsempirical success probabilityparameter shrinkage

Mathematics Subject Classification ID

Point estimation (62F10) Statistics (62-XX) Applications of statistics to psychology (62P15)

Cites Work

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