Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
The results highlight the potential of MICE-based methods in creating high-fidelity tabular data while offering lower implementation complexity compared to deep generative models.
Yevhen Havrylenko, Meelis Kaarik, Artur Tuttar
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