3 papers
stat.ML2026
Implementing neural network mixed-effects models in Template Model Builder (TMB)
Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2
Neural network mixed-effects models (NMMs) have gained traction by combining the strong representation and predictive power of artificial neural networks with the capacity of mixed…
stat.ME2024
A unifying theory for the evaluation of conditional Akaike information for mixed-effects models
Nan Zheng, Noel Cadigan, James T. Thorson
We propose two methods to evaluate the conditional Akaike information (cAI) for mixed-effects models with no restriction on cluster size. Method 1 is designed for continuous data a…
stat.ME2024
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
Nan Zheng, Noel Cadigan
Statistical inference for high dimensional parameters (HDPs) can be based on their intrinsic correlation; that is, parameters that are close spatially or temporally tend to have mo…