Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty.
Multivariate time-series models are commonly used in psychology to investigate person-specific associations between multiple variables. They are often represented and interpreted as dynamic network models, where features such as the centrality of nodes can potentially guide treatment selection and outcome prediction. R...