3 citations · 3 across the 4 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
stat.AP2022
A Posteriori Risk Classification and Ratemaking with Random Effects in the Mixture-of-Experts Model
Spark C. Tseung, Ian Weng Chan, Tsz Chai Fung +2
A well-designed framework for risk classification and ratemaking in automobile insurance is key to insurers' profitability and risk management, while also ensuring that policyholde…
math.ST2022
Mixture of experts models for multilevel data: modelling framework and approximation theory
Tsz Chai Fung, Spark C. Tseung
Multilevel data are prevalent in many real-world applications. However, it remains an open research problem to identify and justify a class of models that flexibly capture a wide r…