Figure 2.

Directed network describing the instantaneous relationship between data (V), parameters (J), and hyperparameters (β, γ, δ, α) in the Elitist Lasso model. Note that alpha affects all time points simultaneously, i.e., it is just one hyperparameter controlling the same level of sparsity for all time points.