Methodology¶
Time-Aware PC Algorithm¶
TPC estimates the Causal Functional Connectivity (CFC) from time series observations. [1, 2].

PC Algorithm¶
PC is an algorithm for causal inference based on Directed Probabilistic Graphical Modeling (DPGM), which is suited for static data, i.e., independent and identically distributed observations. [2, 3].
Granger Causality¶
Granger causality (GC) is a statistical methodology for determining whether one time series is useful in predicting another [2, 4].
Comparison of Methodologies¶
The following summary compares over multiple criteria and shows the advantages of TPC.
