Improving automobile insurance claims frequency prediction with telematics car driving data

by Shengwang Meng, He Wang, Yanlin Shi and Guangyuan Gao

Year of publication:	2022
Authors:	Meng, Shengwang ; Wang, He ; Shi, Yanlin ; Gao, Guangyuan
Published in:	ASTIN bulletin : the journal of the International Actuarial Association. - Cambridge : Cambridge Univ. Press, ISSN 1783-1350, ZDB-ID 2148228-7. - Vol. 52.2022, 2, p. 363-391
Subject:	automobile insurance pricing \| claims frequency \| generalized linear model \| limited fluctuation credibility model \| one-dimensional convolutional neural network \| Telematics car driving data \| Kfz-Versicherung \| Automobile insurance \| Kraftfahrzeug \| Motor vehicle \| Neuronale Netze \| Neural networks \| Versicherungsmathematik \| Actuarial mathematics \| Kfz-Industrie \| Automotive industry \| Prognoseverfahren \| Forecasting model \| Schätztheorie \| Estimation theory \| Verkehrsunfall \| Traffic accident \| Schätzung \| Estimation \| Straßenverkehr \| Road transport \| Telekommunikation \| Telecommunications

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1017/asb.2021.35 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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