Ana Maria Perez-Marin
Ana Maria Perez-Marin
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Uplift random forests
L Guelman, M Guillén, AM Pérez-Marín
Cybernetics and Systems 46 (3-4), 230-248, 2015
Time-varying effects in the analysis of customer loyalty: A case study in insurance
M Guillén, JP Nielsen, TH Scheike, AM Pérez-Marín
Expert systems with Applications 39 (3), 3551-3558, 2012
The use of telematics devices to improve automobile insurance rates
M Guillen, JP Nielsen, M Ayuso, AM Pérez‐Marín
Risk analysis 39 (3), 662-672, 2019
Telematics and gender discrimination: Some usage-based evidence on whether men’s risk of accidents differs from women’s
M Ayuso, M Guillen, AM Pérez-Marín
Risks 4 (2), 10, 2016
Random forests for uplift modeling: an insurance customer retention case
L Guelman, M Guillén, AM Pérez-Marín
International conference on modeling and simulation in engineering …, 2012
Time and distance to first accident and driving patterns of young drivers with pay-as-you-drive insurance
M Ayuso, M Guillén, AM Pérez-Marín
Accident Analysis & Prevention 73, 125-131, 2014
The need to monitor customer loyalty and business risk in the European insurance industry
M Guillen, JP Nielsen, AM Pérez-Marín
The Geneva Papers on Risk and Insurance-Issues and Practice 33, 207-218, 2008
Using GPS data to analyse the distance travelled to the first accident at fault in pay-as-you-drive insurance
M Ayuso, M Guillen, AMP Marín
Transportation research part C: emerging technologies 68, 160-167, 2016
Survival analysis of a household portfolio of insurance policies: how much time do you have to stop total customer defection?
PL Brockett, LL Golden, M Guillen, JP Nielsen, J Parner, AM Perez‐Marin
Journal of Risk and Insurance 75 (3), 713-737, 2008
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
Recent mortality trends in the Spanish population
A Felipe, M Guillén, AM Perez-Marin
British Actuarial Journal 8 (4), 757-786, 2002
Can automobile insurance telematics predict the risk of near-miss events?
M Guillen, JP Nielsen, AM Pérez-Marín, V Elpidorou
North American Actuarial Journal 24 (1), 141-152, 2020
A decision support framework to implement optimal personalized marketing interventions
L Guelman, M Guillén, AM Pérez-Marín
Decision Support Systems 72, 24-32, 2015
A survey of personalized treatment models for pricing strategies in insurance
L Guelman, M Guillén, AM Perez-Marin
Insurance: Mathematics and Economics 58, 68-76, 2014
Near‐miss telematics in motor insurance
M Guillen, JP Nielsen, AM Pérez‐Marín
Journal of Risk and Insurance 88 (3), 569-589, 2021
Performance measurement of pension strategies: A case study of Danish life-cycle products
M Guillén, JP Nielsen, AM Pérez-Marín, KS Petersen
Scandinavian Actuarial Journal 2013 (1), 49-68, 2013
Semi-autonomous vehicles: Usage-based data evidences of what could be expected from eliminating speed limit violations
AM Pérez-Marín, M Guillen
Accident Analysis & Prevention 123, 99-106, 2019
Optimal personalized treatment rules for marketing interventions: A review of methods, a new proposal, and an insurance case study
L Guelman, M Guillén, AM Pérez Marín
UB Riskcenter Working Paper Series, 2014/06, 2014
Importancia de la comunicación organizacional como factor de efectividad organizacional: El caso comparativo de tres organizaciones no gubernamentales en Jalisco
R Soria, A Pérez
Guadalajara: XV Congreso Internacional de Contaduría, Administración e …, 2012
Assessing driving risk using internet of vehicles data: An analysis based on generalized linear models
S Sun, J Bi, M Guillen, AM Pérez-Marín
Sensors 20 (9), 2712, 2020
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