Claims frequency modeling using telematics car driving data

DOI10.1080/03461238.2018.1523068zbMath1411.91280OpenAlexW2784499371WikidataQ129207014 ScholiaQ129207014MaRDI QIDQ5743535

Mario V. Wüthrich, Guangyuan Gao, Shengwang Meng

Publication date: 10 May 2019

Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03461238.2018.1523068

zbMATH Keywords

autoencoderpattern recognitionKullback-Leibler divergencegeneralized additive model\(K\)-means algorithmprincipal components analysistelematics dataclaims frequency modeling\(v\)-\(a\) heatmapbottleneck neural networkcar insurance pricing

Mathematics Subject Classification ID

Related Items (12)

Boosting Poisson regression models with telematics car driving data ⋮ Usage-Based Insurance—Impact on Insurers and Potential Implications for InsurTech ⋮ What can we learn from telematics car driving data: a survey ⋮ The added value of dynamically updating motor insurance prices with telematics collected driving behavior data ⋮ Modelling the aggregate loss for insurance claims with dependence ⋮ Pay-As-You-Drive Insurance: Modeling and Implications ⋮ Can Automobile Insurance Telematics Predict the Risk of Near-Miss Events? ⋮ Leveraging high-resolution weather information to predict hail damage claims: a spatial point process for replicated point patterns ⋮ POISSON MODELS WITH DYNAMIC RANDOM EFFECTS AND NONNEGATIVE CREDIBILITIES PER PERIOD ⋮ Evaluation of driving risk at different speeds ⋮ Feature extraction from telematics car driving heatmaps ⋮ COST-SENSITIVE MULTI-CLASS ADABOOST FOR UNDERSTANDING DRIVING BEHAVIOR BASED ON TELEMATICS

Uses Software

• ElemStatLearn
• gamair
• PRMLT

Cites Work

• Classification of scale-sensitive telematic observables for riskindividual pricing
• Covariate selection from telematics car driving data
• Feature extraction from telematics car driving heatmaps
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Claims frequency modeling using telematics car driving data