Spark's Work

This is a collection of Spark's academic works during graduate school.

Fung, T. C., & Tseung, S. C. (2022). Mixture of experts models for multilevel data: Modelling framework and approximation theory. Submitted for review. Preprint available at arXiv:2209.15207.
Chan, I. W., Tseung, S. C., Badescu, A. L., & Lin, X. S. (2024). Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour. North American Actuarial Journal. Manuscript available here.
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. Manuscript available here.
Tseung, S. C., Badescu, A. L., Fung, T. C., & Lin, X. S. (2021), LRMoE.jl: a software package for insurance loss modelling using mixture of experts regression model. Annals of Actuarial Science. Manuscript available here.