130 citations · 424 across the 9 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
q-bio.NC2020★ 56 cited
Inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches
Leonardo Novelli, Joseph T. Lizier
Functional and effective networks inferred from time series are at the core of network neuroscience. Interpreting their properties requires inferred network models to reflect key u…
stat.ME2020★ 41 cited
Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series
Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher +2
Inferring linear dependence between time series is central to our understanding of natural and artificial systems. Unfortunately, the hypothesis tests that are used to determine st…