Speaker
Antal Jakovac
(Wigner RCP, Department of Computational Sciences)
Description
Building models for multi-channel data can be complex, as it is often unclear which channels influence others and what the optimal time lag is. Allowing too many free parameters can be inefficient, requiring large amounts of data for reliable estimation and often leading to a less stable system compared to a model with fewer parameters. This challenge can be addressed by uncovering causal relationships. In this talk, we present a simple yet effective method for performing such an analysis.
Primary authors
Andras Telcs
Marcell Tamás Kurbucz
(Wigner RCP)
