Katrien Antonio
Katrien Antonio
Professor actuarial science, KU Leuven & University of Amsterdam
Verified email at - Homepage
Cited by
Cited by
Micro-level stochastic loss reserving for general insurance
K Antonio, R Plat
Scandinavian Actuarial Journal 2014 (7), 649-669, 2014
Actuarial statistics with generalized linear mixed models
K Antonio, J Beirlant
Insurance: Mathematics and Economics 40 (1), 58-76, 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
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
Statistical concepts of a priori and a posteriori risk classification in insurance
K Antonio, EA Valdez
AStA Advances in Statistical Analysis 96 (2), 187-224, 2012
The impact of multiple structural changes on mortality predictions
F Van Berkum, K Antonio, M Vellekoop
Scandinavian Actuarial Journal 2016 (7), 581-603, 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
Lognormal mixed models for reported claims reserves
K Antonio, J Beirlant, T Hoedemakers, R Verlaak
North American Actuarial Journal 10 (1), 30-48, 2006
Individual loss reserving using paid–incurred data
M Pigeon, K Antonio, M Denuit
Insurance: Mathematics and Economics 58, 121-131, 2014
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
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
Global fits using splicing for cen-sored data: mixed Erlang and extreme value distributions
T Reynkens, R Verbelen, J Beirlant, K Antonio
European Actuarial Journal Conference, Date: 2016/09/05-2016/09/08, Location …, 2016
Bayesian Poisson log-bilinear models for mortality projections with multiple populations
K Antonio, A Bardoutsos, W Ouburg
European Actuarial Journal 5 (2), 245-281, 2015
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
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
A multilevel analysis of intercompany claim counts
KF ANTONIO, EW Frees, EA Valdez
ASTIN Bulletin-Actuarial Studies in non LifeInsurance 40 (1), 151, 2010
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
Producing the Dutch and Belgian mortality projections: a stochastic multi-population standard
K Antonio, S Devriendt, W de Boer, R de Vries, A De Waegenaere, ...
European Actuarial Journal 7 (2), 297-336, 2017
Sparse regression with multi-type regularized feature modeling
S Devriendt, K Antonio, T Reynkens, R Verbelen
Insurance: Mathematics and Economics 96, 248-261, 2021
Multivariate mixtures of Erlangs for density estimation under censoring
R Verbelen, K Antonio, G Claeskens
Lifetime data analysis 22 (3), 429-455, 2016
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