Chaotic time series data are observed routinely in experiments on physical systems and in
observations in the field. The authors review developments in the extraction of information of …

Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

When I encountered the idea of chaotic behavior in deterministic dynami cal systems, it gave
me both great pause and great relief. The origin of the great relief was work I had done …

Chaotic dynamics are thought to be rare in natural populations but this may be due to
methodological and data limitations, rather than the inherent stability of ecosystems …

Animal behaviour is often quantified through subjective, incomplete variables that mask
essential dynamics. Here, we develop a maximally predictive behavioural-state space from …

In investigations into perception-action systems, variability of observable behavior may be
considered to (a) interfere with inquiry,(b) be neither detrimental nor particularly useful to …

This paper reports on the application to field measurements of time series methods
developed on the basis of the theory of deterministic chaos. The major difficulties are …

Ecosystems are complex and sparsely observed making inference and prediction
challenging. Empirical dynamic modelling (EDM) circumvents the need for a parametric …

Eigenvalue problems are ubiquitous in engineering and science. This book presents a
unified theoretical development of the two most important classes of algorithms for solving …

Fifty years after the invention of the laser diode, and forty years after the butterfly effect
signified the unpredictability of deterministic chaos, it is commonly believed that a laser …