Approximation, Consistency, and Prediction in Generalized Neural Network Mixed Models for Longitudinal and Clustered Data

Generalized neural network mixed models (GNMMs) combine neural networks and mixed-effects models to analyze longitudinal and clustered data. Although GNMMs have shown good predictive performance in practice, their statistical properties are not well understood. Therefore, this paper studies several