Please visit my KU Leuven page for full overview and details of output.
Contributions are labelled below according to research topics and acronyms.

TopicAcronym
Claims reserving non-life insuranceClResNLI
Mortality modellingMoMo
Insurance data scienceIDS
Non-life insurance pricingNonLifeIP
Insurance fraud risk modellingIFRM
Loss modellingLossM
Data science for operations mgmtDSOpsMa
Algorithmic fairnessAlgoFair
Workers’ compensation insuranceWorkComp
Motor insuranceMotor
Life insuranceLife

Working papers

Publications

The short-term association between environmental variables and mortality: evidence from Europe

Robben, J., Antonio, K., Kleinow, T. (2025). The short-term association between environmental variables and mortality: evidence from Europe. Journal of the Royal Statistical Society, Series A.

The Use of IoT Sensor Data to Dynamically Assess Maintenance Risk in Service Contracts.

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.

Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff.

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.

The skin-in-the-game bond: a novel sustainable capital instrument

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.

An engine to simulate insurance fraud network data

Bavo Campo and Katrien Antonio (2025). An engine to simulate insurance fraud network data. European Actuarial Journal.

Reducing the dimensionality and granularity in hierarchical categorical variables

Wilsens, P., Antonio, K., Claeskens, G. (2024). Reducing the dimensionality and granularity in hierarchical categorical variables. Advances In Data Analysis And Classification.

On clustering levels of a hierarchical categorical risk factor

Campo, B.D C., Antonio, K. (2024). On clustering levels of a hierarchical categorical risk factor. Annals of Actuarial Science.

Catastrophe risk in a stochastic multi-population mortality model

Robben, J., & Antonio, K. (2024). Catastrophe risk in a stochastic multi-population mortality model. Journal of Risk and Insurance.

Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims.

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]

Data-driven preventive maintenance for a heterogeneous machine portfolio

Deprez, L., Antonio, K., Arts, J. & Boute, R. (2023). Data-driven preventive maintenance for a heterogeneous machine portfolio. Operations Research Letters.. [DSOpsMa]

Insurance pricing with hierarchically structured data: An illustration with a workers compensation insurance portfolio

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]

A hierarchical reserving model for reported non-life insurance claims

Crevecoeur, J., Robben, J., & Antonio, K. (2022). A hierarchical reserving model for reported non-life insurance claims. Insurance: Mathematics and Economics.

Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model

Robben, J., Antonio, K., & Devriendt, S. (2022). Assessing the Impact of the COVID-19 Shock on a Stochastic Multi-Population Mortality Model. Risks.

External reports

Assessing the impact of COVID-19 on the IA|BE 2020 mortality projections: a scenario analysis

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.

The IA|BE 2020 mortality projection model for the Belgian population

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.