Fig. 2
From: Jacobian Granger causality for count and binary data with applications to causal network inference
The Jacobian as a function of time (a–c) and the corresponding distribution of the mean Jacobian (d,e,f) at different regularization regimes: (a,d) under-regularization, (b,e) balanced regularization, (c,f) over-regularization. All plots have the same target variable, and the different curves in (a–c) and data points in (d–f) correspond to different candidate causes. These plots are obtained from data in the simulated spike train section.
