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Near‐miss telematics in motor insurance
8 references·0 citing·29 second hop
Near‐miss telematics in motor insurance (2021)Near‐miss telematics in motor insuranceBoosting Poisson regression models with telematics car driving data (2021)Boosting Poisson regression m…Personalization as a promise: Can Big Data change the practice of insurance? (2020)Personalization as a promise:…Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data (2019)Multivariate credibility mode…Automobile insurance classification ratemaking based on telematics driving data (2019)Automobile insurance classifi…Claims Frequency Modeling Using Telematics Car Driving Data (2018)Claims Frequency Modeling Usi…The value of vehicle telematics data in insurance risk selection processes (2017)The value of vehicle telemati…Exposure as Duration and Distance in Telematics Motor Insurance Using Generalized Additive Models (2017)Exposure as Duration and Dist…THE USE OF ANNUAL MILEAGE AS A RATING VARIABLE (2015)THE USE OF ANNUAL MILEAGE AS …Econometric Models for Count Data with an Application to the Patents-R & D Relationship (1984)Bonus-Malus Systems in Automobile Insurance (1995)The World Factbook (2017)Generalized Linear Models (2022)The added value of dynamically updating motor insurance prices with telematics collected driving behavior data (2022)Enhanced gradient boosting for zero-inflated insurance claims and comparative analysis of CatBoost , XGBoost , and LightGBM (2024)A data-driven approach to predict the success of bank telemarketing (2014)Big Data: A Survey (2014)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Deep learning in insurance: Accuracy and model interpretability using TabNet (2023)Automobile Accidents, Tort Law, Externalities, and Insurance: An Economist's Critique (1968)Predictive Modeling Applications in Actuarial Science (2014)Machine Learning in P&C Insurance: A Review for Pricing and Reserving (2020)Recent Challenges in Actuarial Science (2021)Data Analytics for Non-Life Insurance Pricing (2017)From pool to profile: Social consequences of algorithmic prediction in insurance (2020)Machine Learning Approaches for Auto Insurance Big Data (2021)Actuarial Modelling of Claim Counts (2007)Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems (2007)Testing for Adverse Selection in Insurance Markets (2009)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers (2023)The Taming of Chance (1990)CRITICAL QUESTIONS FOR BIG DATA (2012)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Automating Empathy (2023)BIBLIOMETRIC ANALYSIS ON BIG DATA APPLICATIONS IN INSURANCE SECTOR: PAST, PRESENT, AND FUTURE RESEARCH DIRECTIONS (2023)Transportation Research Part A: Policy and Practice (2009)Actuarial intelligence in auto insurance: Claim frequency modeling with driving behavior features and improved boosted trees (2022)
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References

  • 2017The value of vehicle telematics data in insurance risk selection processes152 cited
  • 2019Automobile insurance classification ratemaking based on telematics driving data119 cited
  • 2020Personalization as a promise: Can Big Data change the practice of insurance?119 cited
  • 2018Claims Frequency Modeling Using Telematics Car Driving Data77 cited
  • 2015THE USE OF ANNUAL MILEAGE AS A RATING VARIABLE74 cited
  • 2017Exposure as Duration and Distance in Telematics Motor Insurance Using Generalized Additive Models64 cited
  • 2019Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data60 cited
  • 2021Boosting Poisson regression models with telematics car driving data48 cited

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