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 | 167 | 2007 |
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 | 129 | 2009 |
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 | 125 | 2008 |
Exposure as duration and distance in telematics motor insurance using generalized additive models JP Boucher, S Côté, M Guillen Risks 5 (4), 54, 2017 | 99 | 2017 |
Modelling consumer credit risk via survival analysis R Cao, JM Vilar, A Devia SORT: statistics and operations research transactions 33 (1), 0003-30, 2009 | 95 | 2009 |
Fixed versus random effects in Poisson regression models for claim counts: A case study with motor insurance JP Boucher, M Denuit ASTIN Bulletin: The Journal of the IAA 36 (1), 285-301, 2006 | 75 | 2006 |
Pay-as-you-drive insurance: the effect of the kilometers on the risk of accident JP Boucher, AM Pérez-Marín, M Santolino Anales del Instituto de Actuarios Españoles 19 (3), 135-154, 2013 | 74 | 2013 |
Multilevel modeling of insurance claims using copulas P Shi, X Feng, JP Boucher | 72 | 2016 |
A survey on models for panel count data with applications to insurance JP Boucher, M Guillén RACSAM-Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales …, 2009 | 50 | 2009 |
Modeling dependence between loss triangles with hierarchical Archimedean copulas A Abdallah, JP Boucher, H Cossette ASTIN Bulletin: The Journal of the IAA 45 (3), 577-599, 2015 | 49 | 2015 |
Sarmanov family of multivariate distributions for bivariate dynamic claim counts model A Abdallah, JP Boucher, H Cossette Insurance: Mathematics and Economics 68, 120-133, 2016 | 45 | 2016 |
A posteriori ratemaking with panel data JP Boucher, R Inoussa ASTIN Bulletin: The Journal of the IAA 44 (3), 587-612, 2014 | 44 | 2014 |
Credibility premiums for the zero-inflated Poisson model and new hunger for bonus interpretation JP Boucher, M Denuit Insurance: Mathematics and Economics 42 (2), 727-735, 2008 | 44 | 2008 |
Synthetic dataset generation of driver telematics B So, JP Boucher, EA Valdez Risks 9 (4), 58, 2021 | 37 | 2021 |
A longitudinal analysis of the impact of distance driven on the probability of car accidents JP Boucher, R Turcotte Risks 8 (3), 91, 2020 | 33 | 2020 |
Discrete distributions when modeling the disability severity score of motor victims JP Boucher, M Santolino Accident Analysis & Prevention 42 (6), 2041-2049, 2010 | 32 | 2010 |
Cost-sensitive multi-class adaboost for understanding driving behavior based on telematics B So, JP Boucher, EA Valdez ASTIN Bulletin: The Journal of the IAA 51 (3), 719-751, 2021 | 31 | 2021 |
On the importance of dispersion modeling for claims reserving: An application with the Tweedie distribution JP Boucher, D Davidov Variance 5 (2), 158-172, 2012 | 26 | 2012 |
Sarmanov family of bivariate distributions for multivariate loss reserving analysis A Abdallah, JP Boucher, H Cossette, J Trufin North American Actuarial Journal 20 (2), 184-200, 2016 | 18 | 2016 |
How much telematics information do insurers need for claim classification? F Duval, JP Boucher, M Pigeon North American Actuarial Journal 26 (4), 570-590, 2022 | 12 | 2022 |