Detection of automobile insurance fraud with discrete choice models and misclassified claims M Artís, M Ayuso, M Guillén Journal of Risk and Insurance 69 (3), 325-340, 2002 | 231 | 2002 |
Kernel density estimation for heavy-tailed distributions using the Champernowne transformation T Buch-Larsen, JP Nielsen, M Guillén, C Bolancé Statistics 39 (6), 503-516, 2005 | 195 | 2005 |
Modelling different types of automobile insurance fraud behaviour in the Spanish market M Artıs, M Ayuso, M Guillen Insurance: Mathematics and Economics 24 (1-2), 67-81, 1999 | 175 | 1999 |
Risk classification for claim counts: a comparative analysis of various zeroinflated mixed Poisson and hurdle models JP Boucher, M Denuit, M Guillén North American Actuarial Journal 11 (4), 110-131, 2007 | 149 | 2007 |
Predictive modeling applications in actuarial science EW Frees, RA Derrig, G Meyers Cambridge University Press, 2014 | 145 | 2014 |
Employing transaction aggregation strategy to detect credit card fraud S Jha, M Guillen, JC Westland Expert systems with applications 39 (16), 12650-12657, 2012 | 145 | 2012 |
Strategies for detecting fraudulent claims in the automobile insurance industry S Viaene, M Ayuso, M Guillen, D Van Gheel, G Dedene European Journal of Operational Research 176 (1), 565-583, 2007 | 131 | 2007 |
Kernel density estimation of actuarial loss functions C Bolancé, M Guillen, JP Nielsen Insurance: Mathematics and Economics 32 (1), 19-36, 2003 | 129 | 2003 |
Percepción del estado de salud en varones y mujeres en las últimas etapas de la vida E Séculi, J Fusté, P Brugulat, S Juncá, M Rué, M Guillén Gaceta sanitaria 15 (3), 217-223, 2001 | 126 | 2001 |
Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data M Ayuso, M Guillen, JP Nielsen Transportation 46, 735-752, 2019 | 114 | 2019 |
Number of accidents or number of claims? An approach with zero‐inflated Poisson models for panel data JP Boucher, M Denuit, M Guillen Journal of Risk and Insurance 76 (4), 821-846, 2009 | 113 | 2009 |
Distribution of blood concentrations of persistent organic pollutants in a representative sample of the population of Catalonia M Porta, M Gasull, E Puigdomènech, M Garí, MB de Basea, M Guillén, ... Environment international 36 (7), 655-664, 2010 | 111 | 2010 |
Fraud detection using a multinomial logit model with missing information SB Caudill, M Ayuso, M Guillén Journal of Risk and Insurance 72 (4), 539-550, 2005 | 107 | 2005 |
Models of insurance claim counts with time dependence based on generalization of Poisson and negative binomial distributions JP Boucher, M Denuit, M Guillén Variance 2 (1), 135-162, 2008 | 106 | 2008 |
Beyond value‐at‐risk: GlueVaR distortion risk measures J Belles‐Sampera, M Guillén, M Santolino Risk Analysis 34 (1), 121-134, 2014 | 105 | 2014 |
Time-varying effects in the analysis of customer loyalty: A case study in insurance M Guillen, JP Nielsen, TH Scheike, AM Pérez-Marín Expert systems with Applications 39 (3), 3551-3558, 2012 | 103 | 2012 |
de Catalunya DS de la Generalitat Rapid diagnostic circuit (CDR) of lung, colorectal, breast, bladder and …, 2005 | 103 | 2005 |
Predicting motor insurance claims using telematics data—XGBoost versus logistic regression J Pesantez-Narvaez, M Guillen, M Alcañiz Risks 7 (2), 70, 2019 | 101 | 2019 |
Count data models for a credit scoring system G Dionne, M Artís, M Guillén Journal of Empirical Finance 3 (3), 303-325, 1996 | 101 | 1996 |
The impact of traffic violations on the estimated cost of traffic accidents with victims M Ayuso, M Guillén, M Alcañiz Accident Analysis & Prevention 42 (2), 709-717, 2010 | 100 | 2010 |