세미나
[CAU-AI핵심 기술세미나] Integration of traditional and telematics data for efficient insurance claims prediction, 정힘찬 교수 (Simon Fraser University) - 2025년 12월 3일 14:00
2025년 12월 3일 14:00에 진행되는 중앙대학교 AI대학원 CAU-AI핵심 기술세미나 진행 안내드립니다.
2025년의 마지막 기술세미나입니다. 한해 간 열심히 참석해주셔서 감사드리며,
관심있는 분들의 많은 참여 부탁드립니다.
Presenter: 정힘찬 교수 (Simon Fraser University)
Himchan Jung holds a Ph.D. in Mathematics with a concentration in Actuarial Science from the University of Connecticut, and a Fellow of the Society of Actuaries (SOA).
His current research interest is predictive modeling for ratemaking and reserving of property and casualty insurance.
Date & Time: 2025년 12월 3일 14:00
Place: 310관 826호
Title: Integration of traditional and telematics data for efficient insurance claims prediction
While driver telematics has gained attention for risk classification in auto insurance, scarcity of observations with telematics features has been problematic, which could be owing to either privacy concerns or favorable selection compared to the data points with traditional features.
To handle this issue, we apply a data integration technique based on calibration weights for usage-based insurance with multiple sources of data. It is shown that the proposed framework can efficiently integrate traditional data and telematics data and can also deal with possible favorable selection issues related to telematics data availability. Our findings are supported by a simulation study and empirical analysis in a synthetic telematics dataset.
*This seminar was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (2021-0-01341, Artificial Intelligence Graduate School Program(Chung-Ang University))
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