R. Biscay

Linear causal filtering: definition and theory

This paper introduces a framework for linear causal filtering using multivariate autoregressive modeling to estimate directional causal information flow from non-directional association measures.

Measuring Granger-causal effects in multivariate time series by system editing

The paper introduces a method to measure Granger-causal effects in multivariate time series by comparing system dynamics before and after node deletion.

Measures of time series coupling based on generalized weighted multiple regression

This paper introduces new coupling measures for analyzing cortical brain signals by generalizing weighted multiple regression models and defining inhibitory coupling to capture inverse relationships in neural activity.