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Researcher
Roel Verbelen
- Keywords:Economics and applied economics
- Disciplines:Applied economics
Affiliations
- Insurance Research Group (Research group)
Member
From1 Jan 2018 → Today - Operations Research and Statistics Research Group (ORSTAT) (main work address Leuven) (Research unit)
Member
From1 Oct 2013 → 24 Dec 2018
Projects
1 - 1 of 1
- Innovative Pricing and reserving in non-life insurance.From1 Oct 2013 → 31 Dec 2017Funding: IWT personal funding - strategic basic research grants
Publications
1 - 10 of 11
- Sparse regression with Multi-type Regularized Feature modeling(2021)
Authors: Sander Devriendt, Katrien Antonio, Tom Reynkens, Roel Verbelen
Pages: 248 - 261 - Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods(2021)
Authors: Roel Henckaerts, Katrien Antonio, Roel Verbelen
Pages: 255 - 285 - Modeling the number of hidden events subject to observation delay(2019)
Authors: Jonas Crèvecoeur, Katrien Antonio, Roel Verbelen
Pages: 930 - 944 - A data driven binning strategy for the construction of insurance tariff classes(2018)
Authors: Roel Henckaerts, Katrien Antonio, M Clijsters, Roel Verbelen
Pages: 681 - 705 - Unraveling the predictive power of telematics data in car insurance pricing(2018)
Authors: Roel Verbelen, Katrien Antonio, Gerda Claeskens
Pages: 1275 - 1304 - A data driven binning strategy for the construction of insurance tariff classes(2018)
Authors: Roel Henckaerts, Katrien Antonio, Roel Verbelen
Pages: 681 - 705 - Modelling censored losses using splicing: a global fit strategy with mixed Erlang and extreme value distributions(2017)
Authors: Tom Reynkens, Roel Verbelen, Jan Beirlant, Katrien Antonio
Pages: 65 - 77 - Data analytics for insurance loss modelling, telematics pricing and claims reserving.(2017)
Authors: Roel Verbelen, Gerda Claeskens, Katrien Antonio
- Multivariate mixtures of Erlangs for density estimation under censoring(2016)
Authors: Roel Verbelen, Katrien Antonio, Gerda Claeskens
Pages: 429 - 455 - Multivariate mixtures of Erlangs for density estimation under censoring(2016)
Authors: Roel Verbelen, Katrien Antonio, Gerda Claeskens
Pages: 429 - 455