Publications
Chan, I. W., Badescu, A. L., & Lin, X. S. (2025). Assessing driving risk through unsupervised detection of anomalies in telematics time series data. ASTIN Bulletin, 55(2), 205–241. Link to Article
Chan, I. W., Tseung, S. C., Badescu, A. L., & Lin, X. S. (2024). Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behavior. North American Actuarial Journal, 1-35. Link to Article
Tseung, S. C., Chan, I. W., Fung, T. C., Badescu, A. L., & Lin, X. S. (2023). Improving risk classification and ratemaking using mixture‐of‐experts models with random effects. Journal of Risk and Insurance, 90(3), 789-820. Link to Article
Presentations
Upcoming:
Past:
Enhancing Auto-Insurance Ratemaking With Telematics Data, Canadian Institute of Actuaries Webcast, online, October 2, 2025
Assessing Driving Risk via Telematics Time Series Data, 2025 Statistical Society of Canada Annual Meeting, Saskatoon, Saskatchewan, SK, Canada, May 25–28, 2025
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour, 59th Actuarial Research Conference, Murfreesboro, TN, USA, July 18–20, 2024
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour, 27th International Congress on Insurance: Mathematics and Economics, Chicago, IL, USA, July 8–11, 2024
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour, Statistics Graduate Student Research Day, University of Toronto, Toronto, ON, Canada, April 26, 2024
The Logit-weighted Reduced Mixture of Experts (LRMoE) - A flexible modeling tool for actuarial applications, iCAS Data Science and Analytics Forum, Coronado, CA, USA, March 13, 2023
- Jupyter notebook for live demo
Mixture-of-Experts Models for Claim Frequency and Severity, CAS Ratemaking, Product and Modeling Seminar, Coronado, CA, USA, March 13-15, 2023
- Slides for presentation and Jupyter notebook for live demo