A tutorial on multifractality, cascades, and interactivity for empirical time series in ecological science

DG Kelty-Stephen, K Palatinus, E Saltzman… - Ecological …, 2013 - Taylor & Francis
Interactivity is a central theme of ecological psychology. According to Gibsonian views,
behavior is the emergent property of interactions between organism and environment …

Multifractality versus (mono-) fractality as evidence of nonlinear interactions across timescales: Disentangling the belief in nonlinearity from the diagnosis of …

DG Kelty-Stephen, S Wallot - Ecological Psychology, 2017 - Taylor & Francis
This article addresses the still popular but incorrect idea that monofractal (sometimes called
“fractal” for short) structure might be a definitive signature of nonlinearity and, as a corollary …

Multifractal test for nonlinearity of interactions across scales in time series

DG Kelty-Stephen, E Lane, L Bloomfield… - Behavior Research …, 2023 - Springer
The creativity and emergence of biological and psychological behavior tend to be nonlinear,
and correspondingly, biological and psychological measures contain degrees of irregularity …

Multifractal descriptors ergodically characterize non-ergodic multiplicative cascade processes

DG Kelty-Stephen, M Mangalam - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Biological and psychological processes routinely break ergodicity, meaning they fail to have
stable means (M ean) and independent variation over time that we might find in additive …

[图书][B] Fractals and multifractals in ecology and aquatic science

L Seuront - 2009 - taylorfrancis.com
Ecologists sometimes have a less-than-rigorous background in quantitative methods, yet
research within this broad field is becoming increasingly mathematical. Written in a step-by …

From physics to social interactions: Scientific unification via dynamics

PG Amazeen - Cognitive Systems Research, 2018 - Elsevier
The principle of dynamical similitude—the belief that the same behavior may be exhibited by
very different systems—allows us to use mathematical models from physics to understand …

Multifractal analyses of response time series: A comparative study

EAF Ihlen - Behavior research methods, 2013 - Springer
Response time series with a non-Gaussian distribution and long-range dependent dynamics
have been reported for several cognitive tasks. Conventional monofractal analyses …

Multifractal analysis: pitfalls of standard procedures and alternatives

D Veneziano, GE Moglen, RL Bras - Physical Review E, 1995 - APS
When applied to measures that are not multifractal at all, standard methods of multifractal
analysis (MFA) may produce results that make the measures appear multifractal. This is …

Fractal and multifractal descriptors restore ergodicity broken by non-Gaussianity in time series

DG Kelty-Stephen, M Mangalam - Chaos, Solitons & Fractals, 2022 - Elsevier
Ergodicity breaking is a challenge for biological and psychological sciences. Ergodicity is a
necessary condition for linear causal modeling. Long-range correlations and non …

Detrended cross-correlation analysis consistently extended to multifractality

P Oświȩcimka, S Drożdż, M Forczek, S Jadach… - Physical Review E, 2014 - APS
We propose an algorithm, multifractal cross-correlation analysis (MFCCA), which constitutes
a consistent extension of the detrended cross-correlation analysis and is able to properly …