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stat.ML2025
Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
Yevhen Havrylenko, Meelis Käärik, Artur Tuttar
Actuarial ratemaking depends on high-quality data, yet access to such data is often limited by the cost of obtaining new data, privacy concerns, etc. In this paper, we explore synt…
stat.ML2022★ 4 cited
Detection of Interacting Variables for Generalized Linear Models via Neural Networks
Yevhen Havrylenko, Julia Heger
The quality of generalized linear models (GLMs), frequently used by insurance companies, depends on the choice of interacting variables. The search for interactions is time-consumi…