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 …
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 …
“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 …
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 …
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 …
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 …
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 …
have been reported for several cognitive tasks. Conventional monofractal analyses …
Multifractal analysis: pitfalls of standard procedures and alternatives
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 …
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 …
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 …
a consistent extension of the detrended cross-correlation analysis and is able to properly …