Applying Data Augmentation Techniques to Political Prediction Models

• In Event: Missing Data / Imputation

Brief Overview

This paper applies data augmentation techniques, namely Generative Adversarial Networks (GANs) and diffusion models, to political science prediction research to mitigate the small sample size problem.

Authors

• Budrul Ahsan, Philips Japan

• Sota Kato, Tokyo Foundation for Policy Research

• Takafumi Nakanishi, Musashino University