On clustering levels of a hierarchical categorical risk factor von Campo, Bavo D.C., Antonio, Katrien

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Assessing the impact of the COVID-19 shock on a stochastic multi-population mortality model von Robben, Jens, Antonio, Katrien, Devriendt, Sander

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The added value of dynamically updating motor insurance prices with telematics collected driving behavior data von Henckaerts, Roel, Antonio, Katrien

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Catastrophe risk in a stochastic multi‐population mortality model von Robben, Jens, Antonio, Katrien

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Catastrophe Risk in a Stochastic Multi-Population Mortality Model von Robben, Jens, Antonio, Katrien

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Unravelling the predictive power of telematics data in car insurance pricing von Verbelen, Roel, Antonio, Katrien, Claeskens, Gerda

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Micro-level stochastic loss reserving for general insurance von Antonio, Katrien, Plat, Richard

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The added value of dynamically updating motor insurance prices with telematics collected driving behavior data von Henckaerts, Roel, Antonio, Katrien

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Pricing service maintenance contracts using predictive analytics von Deprez, Laurens, Antonio, Katrien, Boute, Robert

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Empirical risk assessment of maintenance costs under full-service contracts von Deprez, Laurens, Antonio, Katrien, Boute, Robert

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Modeling the number of hidden events subject to observation delay von Crevecoeur, Jonas, Antonio, Katrien, Verbelen, Roel

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Empirical Risk Assessment of Maintenance Costs under Full-service Contracts von Deprez, Laurens, Antonio, Katrien, Boute, Robert

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Statistical concepts of a priori and a posteriori risk classification in insurance von Antonio, Katrien, Valdez, Emiliano A.

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A hierarchical reserving model for reported non-life insurance claims von Crevecoeur, Jonas, Robben, Jens, Antonio, Katrien

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Pricing service maintenance contracts using predictive analytics von Deprez, Laurens, Antonio, Katrien, Boute, Robert

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Modelling censored losses using splicing: A global fit strategy with mixed Erlang and extreme value distributions von Reynkens, Tom, Verbelen, Roel, Beirlant, Jan, Antonio, Katrien

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On clustering levels of a hierarchical categorical risk factor von Campo, Bavo D.C, Antonio, Katrien

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When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates von Henckaerts, Roel, Antonio, Katrien, Côté, Marie-Pier

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Insurance pricing with hierarchically structured data: An illustration with a workers' compensation insurance portfolio von Campo, Bavo D.C, Antonio, Katrien

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Reducing the dimensionality and granularity in hierarchical categorical variables von Wilsens, Paul, Antonio, Katrien, Claeskens, Gerda

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