Micro-level stochastic loss reserving for general insurance K Antonio, R Plat Scandinavian Actuarial Journal 2014 (7), 649-669, 2014 | 236 | 2014 |
Actuarial statistics with generalized linear mixed models K Antonio, J Beirlant Insurance: Mathematics and Economics 40 (1), 58-76, 2007 | 213 | 2007 |
Unravelling the predictive power of telematics data in car insurance pricing R Verbelen, K Antonio, G Claeskens Journal of the Royal Statistical Society: Series C 67 (5), 1275 - 1304, 2018 | 205 | 2018 |
Individual loss reserving with the multivariate skew normal framework M Pigeon, K Antonio, M Denuit ASTIN Bulletin: The Journal of the IAA 43 (3), 399-428, 2013 | 138* | 2013 |
Boosting insights in insurance tariff plans with tree-based machine learning methods R Henckaerts, MP Côté, K Antonio, R Verbelen North American Actuarial Journal 25 (2), 255-285, 2021 | 124 | 2021 |
Statistical concepts of a priori and a posteriori risk classification in insurance K Antonio, EA Valdez AStA Advances in Statistical Analysis 96, 187-224, 2012 | 110 | 2012 |
Profit maximizing logistic model for customer churn prediction using genetic algorithms E Stripling, S vanden Broucke, K Antonio, B Baesens, M Snoeck Swarm and Evolutionary Computation 40, 116-130, 2018 | 104 | 2018 |
The impact of multiple structural changes on mortality predictions F Van Berkum, K Antonio, M Vellekoop Scandinavian Actuarial Journal 2016 (7), 581-603, 2016 | 94* | 2016 |
Fitting mixtures of Erlangs to censored and truncated data using the EM algorithm R Verbelen, L Gong, K Antonio, A Badescu, S Lin ASTIN Bulletin: The Journal of the IAA 45 (3), 729-758, 2015 | 92 | 2015 |
A data driven binning strategy for the construction of insurance tariff classes R Henckaerts, K Antonio, M Clijsters, R Verbelen Scandinavian Actuarial Journal 2018 (8), 681-705, 2018 | 89 | 2018 |
Modelling censored losses using splicing: A global fit strategy with mixed Erlang and extreme value distributions T Reynkens, R Verbelen, J Beirlant, K Antonio Insurance: Mathematics and Economics 77, 65-77, 2017 | 74 | 2017 |
Individual loss reserving using paid–incurred data M Pigeon, K Antonio, M Denuit Insurance: Mathematics and Economics 58, 121-131, 2014 | 72 | 2014 |
Lognormal mixed models for reported claims reserves K Antonio, J Beirlant, T Hoedemakers, R Verlaak North American Actuarial Journal 10 (1), 30-48, 2006 | 69 | 2006 |
Bayesian Poisson log-bilinear models for mortality projections with multiple populations K Antonio, A Bardoutsos, W Ouburg European Actuarial Journal 5, 245-281, 2015 | 61 | 2015 |
Social network analytics for supervised fraud detection in insurance M Óskarsdóttir, W Ahmed, K Antonio, B Baesens, R Dendievel, T Donas, ... Risk Analysis 42 (8), 1872-1890, 2022 | 57 | 2022 |
Sparse regression with multi-type regularized feature modeling S Devriendt, K Antonio, T Reynkens, R Verbelen Insurance: Mathematics and Economics 96, 248-261, 2021 | 46 | 2021 |
A multilevel analysis of intercompany claim counts KF ANTONIO, EW Frees, EA Valdez ASTIN Bulletin-Actuarial Studies in non LifeInsurance 40 (1), 151, 2010 | 43 | 2010 |
Coppice management effects on experimentally established populations of three herbaceous layer woodland species H Van Calster, P Endels, K Antonio, K Verheyen, M Hermy Biological Conservation 141 (10), 2641-2652, 2008 | 43 | 2008 |
Issues in claims reserving and credibility: a semiparametric approach with mixed models K Antonio, J Beirlant Journal of Risk and Insurance 75 (3), 643-676, 2008 | 38 | 2008 |
The added value of dynamically updating motor insurance prices with telematics collected driving behavior data R Henckaerts, K Antonio Insurance: Mathematics and Economics 105, 79-95, 2022 | 37 | 2022 |