Actuarial Synergy: How Academia and Industry Drive Innovation Together
Interview in The European Actuary on academia, industry and innovation.
Interview in The European Actuary on academia, industry and innovation.
Verbelen, R., Antonio, K. & Claeskens, G. 2018. Unravelling the predictive power of telematics data in car insurance pricing. Journal of the Royal Statistical Society Series C: Applied Statistics.
Crevecoeur, J., Antonio, K. & Verbelen, R. 2019. Modelling the number of hidden events subject to observation delay.European Journal of Operational Research.
Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.
Antonio, K., Devriendt, S. & Robben, J. (2020). The IA|BE 2020 mortality projection model for the Belgian population. Published by the Institute of Actuaries in Belgium.
Henckaerts, R., Côté, M.P., Antonio, K. & Verbelen, R. 2021. Boosting insights in insurance tariff plans with tree-based machine learning methods.North American Actuarial Journal.
Devriendt, S., Antonio, K., Reynkens, T., Verbelen, R. (2021). Sparse regression with Multi-type Regularized Feature modeling. Insurance: Mathematics and Economics. [IDS] [NonLifeIP]
van Berkum, F., Antonio, K., Vellekoop, M. (2021). Quantifying longevity gaps using micro-level lifetime data. Journal of the Royal Statistical Society: Series A (Statistics in Society). [MoMo]
Deprez, L., Antonio, K., Boute, R. (2021). Pricing service maintenance contracts using predictive analytics. European Journal of Operational Research. [DSOpsMa]
May 2021 - Keynote delivered during FinTech workshop, organized for employees of the FSMA, the Financial Services and Markets Authority in Belgium.
Robben, J., Antonio, K., & Devriendt, S. (2022). Assessing the Impact of the COVID-19 Shock on a Stochastic Multi-Population Mortality Model. Risks.
Crevecoeur, J., Robben, J., & Antonio, K. (2022). A hierarchical reserving model for reported non-life insurance claims. Insurance: Mathematics and Economics.
Henckaerts, R. & Antonio, K. (2022). The added value of dynamically updating motor insurance prices with telematics collected driving behavior data. Insurance: Mathematics and Economics.
Deresa, N.W., Van Keilegom, I., Antonio, K. (2022). Copula-based inference for bivariate survival data with left truncation and dependent censoring. Insurance Mathematics & Economics. [LossM] [Life]
Henckaerts, R., Antonio, K., Côté, M-P. (2022). When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates. Expert Systems With Applications. [IDS] [NonLifeIP]
M. Óskarsdóttir, W. Ahmed, K. Antonio, B. Baesens, R. Dendievel, T. Donas & T. Reynkens (2022). Social network analytics for supervised fraud detection in insurance. Risk Analysis: an International Journal. [IFRM]
R. Verbelen, K. Antonio, J. Crevecoeur & G. Claeskens (2022). Modeling the occurrence of events subject to a reporting delay via an EM algorithm. Statistical Science. [IDS] [ClResNLI]
Deprez, L., Antonio, K., Boute, R. (2023). Empirical Risk Assessment of Maintenance Costs under Full-service Contracts. European Journal Of Operational Research. [DSOpsMa]
Campo B.D.C., Antonio, K. (2023). Insurance pricing with hierarchically structured data: An illustration with a workers compensation insurance portfolio. Scandinavian Actuarial Journal. [WorkComp] [IDS] [NonLifeIP]
Deprez, L., Antonio, K., Arts, J. & Boute, R. (2023). Data-driven preventive maintenance for a heterogeneous machine portfolio. Operations Research Letters.. [DSOpsMa]
Crevecoeur, J., Antonio, K., Desmedt, S., Masquelein, A. (2023). Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims. ASTIN Bulletin: the Journal of the International Actuarial Association. [ClResNLI] [NonLifeIP] [Winner of the Hachemeister 2024 prize]
Robben, J., & Antonio, K. (2024). Catastrophe risk in a stochastic multi-population mortality model. Journal of Risk and Insurance.
Campo, B.D C., Antonio, K. (2024). On clustering levels of a hierarchical categorical risk factor. Annals of Actuarial Science.
September 2024 - Keynote delivered during 115th annual meeting of the Swiss Actuarial Association in Bern.
September 2024 - Keynote delivered during online workshop of Actuarial Society of South Africa.
September 2024 - Keynote delivered in Brussels during JoCo, the Joint Colloquium all sections of the International Actuarial Association (IAA) (ASTIN, AFIR-ERM, IACA, IAALS, IAAHS and PBSS).
Wilsens, P., Antonio, K., Claeskens, G. (2024). Reducing the dimensionality and granularity in hierarchical categorical variables. Advances In Data Analysis And Classification.
Bavo Campo and Katrien Antonio (2025). An engine to simulate insurance fraud network data. European Actuarial Journal.
Antonio, K., De Spiegeleer, J., Schoutens, W., Verschueren, E. (2025). The skin-in-the-game bond: a novel sustainable capital instrument. In: The Cambridge Handbook of EU Sustainable Finance: Regulation, Supervision and Governance.
Freek Holvoet, Katrien Antonio, Roel Henckaerts (2025). Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff. North Americal Actuarial Journal.
Loeys, S., Boute, R., Antonio, K. (2025). The Use of IoT Sensor Data to Dynamically Assess Maintenance Risk in Service Contracts.European Journal Of Operational Research.
Robben, J., Antonio, K., Kleinow, T. (2026). The short-term association between environmental variables and mortality: evidence from Europe. Journal of the Royal Statistical Society, Series A.
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014
Course in the MSc in Actuarial and Financial Engineering, KU Leuven, 2014