Granger Causality
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Related Articles from SNS
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
arXiv:2501.02672v3 Announce Type: replace-cross Abstract: Characterising cause-effect relationships in complex systems is fundamental to understanding their underlying mechanisms. Granger causality (GC) remains a widely used computational tool for identifying causal relationships in time series data. However, like other causal discovery methods, GC has limitations and has been criticised for lacking a rigorous causal foundation.
Neurophysiological Functional Connectivity Changes during Difficult Listening in Older and Younger Adults
Older adults often report increased difficulty understanding speech in noisy listening environments. These difficulties are thought to arise from neurophysiological changes associated with aging, including at the level of cortex. Speech comprehension is believed to rely on coordinated activity across distributed cortical regions, mediated by the directional flow of neural signals -- their functional connectivity.