8 papers
Statistical comparisons of time-series feature sets on classification tasks
Trent Henderson, Ben D. Fulcher
In recent years, numerous open-source software libraries have been developed for computing sets of features from univariate time series. The type and number of features vary across…
Interpretable model-free inference of parametric variation across time-series data through large-scale feature extraction
Ben D. Fulcher, Carl H. Lubba, Giorgio F. Gilestro +2
Here we address the problem of estimating the dimensionality and nature of parametric variation in an unknown generative process directly from time-series data, without specifying…
Estimating measures of information processing during cognitive tasks using functional magnetic resonance imaging
Chetan Gohil, Oliver M. Cliff, James M. Shine +2
Cognition is increasingly framed in terms of information processing, yet most fMRI analyses focus on activation or functional connectivity rather than quantifying how information i…
Unifying concepts in information-theoretic time-series analysis
Annie G. Bryant, Oliver M. Cliff, James M. Shine +2
Information theory is a powerful framework for quantifying complexity, uncertainty, and dynamical structure in time-series data, with widespread applicability across disciplines su…
Identifying statistical indicators of temporal asymmetry using a data-driven approach
Teresa Dalle Nogare, Ben D. Fulcher
The dynamics of time-reversible systems are statistically indistinguishable when observed forward or backward in time. A rich literature of statistical methods to distinguish irrev…
Cross Mutual Information
Chetan Gohil, Oliver M Cliff, James M. Shine +2
Mutual information (MI) is a useful information-theoretic measure to quantify the statistical dependence between two random variables: and . Often, we are interested in unde…