Freek Holvoet, Katrien Antonio, Roel Henckaerts (2023). Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff.

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Bavo Campo, Katrien Antonio (2023). An engine to simulate insurance fraud network data.

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Jens Robben, Katrien Antonio (2023). Catastrophe risk in a stochastic multi-population mortality model.

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Jonas Crevecoeur, Katrien Antonio, Stijn Desmedt, Alexandre Masquelein (2023). Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims. In ASTIN Bulletin: The Journal of the International Actuarial Association.

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Bavo DC Campo, Katrien Antonio (2023). On clustering levels of a hierarchical categorical risk factor. In Annals of Actuarial Science.

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Laurens Deprez, Katrien Antonio, Joachim Arts, Robert Boute (2023). Data-driven preventive maintenance for a heterogeneous machine portfolio. In Operations Research Letters.

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Bavo DC Campo, Katrien Antonio (2023). Insurance pricing with hierarchically structured data: an illustration with a workers' compensation insurance portfolio. In Scandinavian Actuarial Journal.

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Katrien Antonio, Jan De Spiegeleer, Wim Schoutens, Eva Verschueren (2023). The skin-in-the-game bond: a novel sustainable capital instrument. In The Cambridge Handbook of EU Sustainable Finance: Regulation, Supervision and Governance. Cambridge University Press..

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Roel Verbelen, Katrien Antonio, Gerda Claeskens, Jonas Crevecoeur (2022). Modeling the occurrence of events subject to a reporting delay via an EM algorithm. In Statistical Science.

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Roel Henckaerts, Katrien Antonio, Marie-Pier Côté (2022). When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates. In Expert Systems with Applications.

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Roel Henckaerts, Katrien Antonio (2022). The added value of dynamically updating motor insurance prices with telematics collected driving behavior data. In Insurance: Mathematics and Economics.

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Laurens Deprez, Katrien Antonio, Robert Boute (2022). Empirical risk assessment of maintenance costs under full-service contracts. In European Journal of Operational Research.

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Negera W. Deresa, Ingrid Van Keilegom, Katrien Antonio (2022). Copula-based inference for bivariate survival data with left truncation and dependent censoring. In Insurance: Mathematics and Economics.

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Jonas Crevecoeur, Jens Robben, Katrien Antonio (2022). A hierarchical reserving model for reported non-life insurance claims. In Insurance: Mathematics and Economics.

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María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens (2022). Social network analytics for supervised fraud detection in insurance. In Risk Analysis: an International Journal.

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Jens Robben, Katrien Antonio, Sander Devriendt (2022). Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model. In Risks.

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Frank Van Berkum, Katrien Antonio, Michel Vellekoop (2021). Quantifying longevity gaps using micro‐level lifetime data. In Journal of the Royal Statistical Society: Series A.

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Roel Henckaerts, Marie-Pier Côté, Katrien Antonio, Roel Verbelen (2021). Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods. In North American Actuarial Journal.

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Katrien Antonio, Christophe Dutang, Andreas Tsanakas (2021). Editorial. In Annals of Actuarial Science.

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Laurens Deprez, Katrien Antonio, Robert Boute (2021). Pricing service maintenance contracts using predictive analytics. In European Journal of Operational Research.

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Sander Devriendt, Katrien Antonio, Tom Reynkens, Roel Verbelen (2021). Sparse regression with Multi-type Regularized Feature modeling. In Insurance: Mathematics and Economics.

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Jonas Crevecoeur, Katrien Antonio, Roel Verbelen (2019). Modeling the number of hidden events subject to observation delay. In European Journal of Operational Research.

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Roel Verbelen, Katrien Antonio, Gerda Claeskens (2018). Unravelling the predictive power of telematics data in car insurance pricing. In Journal of the Royal Statistical Society: Series C.

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Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck (2018). Profit maximizing logistic model for customer churn prediction using genetic algorithms. In Swarm and Evolutionary Computation.

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Roel Henckaerts, Katrien Antonio, Maxime Clijsters, Roel Verbelen (2018). A data driven binning strategy for the construction of insurance tariff classes. In Scandinavian Actuarial Journal.

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Tom Reynkens, Roel Verbelen, Jan Beirlant, Katrien Antonio (2017). Modelling Censored Losses Using Splicing: a Global Fit Strategy With Mixed Erlang and Extreme Value Distributions. In Insurance: Mathematics and Economics.

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Katrien Antonio, Sander Devriendt, Wouter de Boer, Robert de Vries, Anja de Waegenaere, Hok-Kwan Kan, Egbert Kromme, Wilbert Ouburg, Tim Schulteis, Erica Slagter, Marco van der Winden, Corné Van Iersel, Michel Vellekoop (2017). Producing the Dutch and Belgian mortality projections: a stochastic multi-population standard. In European Actuarial Journal.

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Frank Van Berkum, Katrien Antonio, Michel Vellekoop (2017). A Bayesian joint model for population and portfolio-specific mortality. In ASTIN Bulletin: The Journal of the IAA.

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Jan Dhaene, Els Godecharle, Katrien Antonio, Michel Denuit, Hamza Hanbali (2017). Lifelong health insurance covers with surrender values: updating mechanisms in the presence of medical inflation. In ASTIN Bulletin: The Journal of the IAA.

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Frank van Berkum, Katrien Antonio, Michel Vellekoop (2016). The impact of multiple structural changes on mortality predictions. In Scandinavian Actuarial Journal.

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Roel Verbelen, Katrien Antonio, Gerda Claeskens (2016). Multivariate mixtures of Erlangs for density estimation under censoring. In Lifetime Data Analysis.

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Els Godecharle, Katrien Antonio (2015). Reserving by conditioning on markers of individual claims: a case-study using historical information. In North American Actuarial Journal.

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Katrien Antonio, Anastasios Bardoutsos, Wilbert Ouburg (2015). Bayesian Poisson log-bilinear models for mortality projections with multiple populations. In European Actuarial Journal.

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Roel Verbelen, Lan Gong, Katrien Antonio, Andrei Badescu, Sheldon Lin (2015). Fitting mixtures of Erlangs to censored and truncated data using the EM algorithm. In ASTIN Bulletin: The Journal of the IAA.

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Katrien Antonio, Richard Plat (2014). Micro-level stochastic loss reserving in general insurance. In Scandinavian Actuarial Journal.

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Mathieu Pigeon, Katrien Antonio, Michel Denuit (2014). Individual loss reserving using paid-incurred data. In Insurance: Mathematics and Economics.

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Mathieu Pigeon, Katrien Antonio, Michel Denuit (2013). Individual loss reserving with the multivariate skew normal framework. In ASTIN Bulletin: The Journal of the IAA.

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Ward Vercurysse, Jan Dhaene, Michel Denuit, Ermanno Pitacco, Katrien Antonio (2013). Premium indexing in lifelong health insurance. In Far East Journal of Mathematical Sciences.

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Katrien Antonio, Emiliano Valdez (2011). Statistical concepts of a priori and a posteriori risk classification. In Advances in Statistical Analysis.

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Katrien Antonio, Edward (Jed) Frees, Emiliano Valdez (2011). A multilevel analysis of intercompany claim counts. In ASTIN Bulletin: The Journal of the IAA.

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Hans Van Calster, Patrick Endels, Katrien Antonio, Kris Verheyen, Martin Hermy (2008). Coppice management effects on experimentally established populations of three herbaceous layer woodland species. In Biological Conservation.

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Katrien Antonio, Jan Beirlant (2008). Issues in claims reserving and credibility: a semiparametric approach with mixed models. In The Journal of Risk and Insurance.

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Katrien Antonio, Jan Beirlant, Tom Hoedemakers, Robert Verlaak (2006). Lognormal mixed models for reported claims reserves. In North American Actuarial Journal.

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Katrien Antonio, Jan Beirlant, Tom Hoedemakers (2005). Discussion on 'A Bayesian generalized linear model for the Bornhuetter-Ferguson method of claims reserving'. In North American Actuarial Journal.

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