Single-particle tracking offers detailed information about the motion of molecules in complex
environments such as those encountered in live cells, but the interpretation of experimental …

The field of movement ecology has seen a rapid increase in high-resolution data in recent
years, leading to the development of numerous statistical and numerical methods to analyse …

The seemingly straightforward task of tying one's shoes requires a sophisticated interplay of
joints, muscles, and neural pathways, posing a formidable challenge for researchers …

Lévy flight is a type of random walk that characterizes the behaviour of many natural
phenomena studied across a multiplicity of academic disciplines; within biology specifically …

We first review the way in which Hasselmann's paradigm, introduced in 1976 and recently
honored with the Nobel Prize, can, like many key innovations in complexity science, be …

An open and fundamental issue in climate dynamics is the origin of multidecadal variability
in the climate system. Resolving this issue is essential for adequate attribution of human …

A nonautonomous stochastic dynamical model approach is developed to describe the
seasonal to interannual variability of the El Niño southern oscillation (ENSO). We determine …

Exploiting recent progress in the theoretical understanding of detrended fluctuation analysis
(DFA), we use the non-asymptotic properties of the fluctuation function in order to extract …

We analyze and model the stochastic behavior of paleoclimate time series and assess the
implications for the coupling of climate variables during the Pleistocene glacial cycles. We …

We analyze European temperature variability from station data with the method of detrended
fluctuation analysis. This method is known to give a scaling exponent indicating long range …