Implementing neural network mixed-effects models in Template Model Builder (TMB)

arXiv:2608.31133 · stat.ML, cs.LG · Submitted 2026-08-31 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/ZhengNan18/Implementing-neural-network-mixed-effects-models-in-TemplateModel-Builder-TMB-

Terminology

• Objective Function — 16× in this paper · explained in 2 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Template Model Builder — 5× in this paper
• AUC — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Longitudinal Data — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

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