Delong, Łukasz; Lindholm, Mathias; Wüthrich, Mario V. Gamma mixture density networks and their application to modelling insurance claim amounts. (English) Zbl 1475.91294 Insur. Math. Econ. 101, 240-261 (2021). MSC: 91G05 PDF BibTeX XML Cite \textit{Ł. Delong} et al., Insur. Math. Econ. 101, 240--261 (2021; Zbl 1475.91294) Full Text: DOI OpenURL
Devriendt, Sander; Antonio, Katrien; Reynkens, Tom; Verbelen, Roel Sparse regression with multi-type regularized feature modeling. (English) Zbl 1460.91218 Insur. Math. Econ. 96, 248-261 (2021). MSC: 91G05 PDF BibTeX XML Cite \textit{S. Devriendt} et al., Insur. Math. Econ. 96, 248--261 (2021; Zbl 1460.91218) Full Text: DOI arXiv OpenURL
Počuča, Nikola; Jevtić, Petar; McNicholas, Paul D.; Miljkovic, Tatjana Modeling frequency and severity of claims with the zero-inflated generalized cluster-weighted models. (English) Zbl 1452.91280 Insur. Math. Econ. 94, 79-93 (2020). MSC: 91G05 62P05 62H30 PDF BibTeX XML Cite \textit{N. Počuča} et al., Insur. Math. Econ. 94, 79--93 (2020; Zbl 1452.91280) Full Text: DOI arXiv OpenURL
Bayerstadler, Andreas; van Dijk, Linda; Winter, Fabian Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance. (English) Zbl 1373.62510 Insur. Math. Econ. 71, 244-252 (2016). MSC: 62P05 62J12 91B30 PDF BibTeX XML Cite \textit{A. Bayerstadler} et al., Insur. Math. Econ. 71, 244--252 (2016; Zbl 1373.62510) Full Text: DOI OpenURL