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Cited by

• 2017The value of vehicle telematics data in insurance risk selection processes152 cited
• 2018Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data122 cited
• 2020Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods109 cited
• 2009Number of Accidents or Number of Claims? An Approach with Zero‐Inflated Poisson Models for Panel Data98 cited
• 2011Statistical concepts of a priori and a posteriori risk classification in insurance70 cited
• 2014Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape64 cited
• 2019Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data60 cited
• 2018A data driven binning strategy for the construction of insurance tariff classes56 cited
• 2021Boosting Poisson regression models with telematics car driving data48 cited
• 2014OPTIMAL BONUS-MALUS SYSTEMS USING FINITE MIXTURE MODELS45 cited
• 2012Longitudinal modeling of insurance claim counts using jitters44 cited
• 2012Selecting prospects for cross-selling financial products using multivariate credibility35 cited
• 2022Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector