Miryeong Koo

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2025

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Automated search algorithm for optimal generalized linear mixed models (GLMMs)
Miryeong Koo | Jinming Zhang
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

Only a limited number of predictors can be included in a generalized linear mixed model (GLMM) due to estimation algorithm divergence. This study aims to propose a machine learning based algorithm (e.g., random forest) that can consider all predictors without the convergence issue and automatically searches for the optimal GLMMs.
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