Visibility algorithms: A short review

AM Nuñez, L Lacasa, JP Gomez… - New frontiers in graph …, 2012 - books.google.com
Disregarding any underlying process (and therefore any physical, chemical, economical or
whichever meaning of its mere numeric values), we can consider a time series just as an …

Detrending moving average algorithm for multifractals

GF Gu, WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2010 - APS
The detrending moving average (DMA) algorithm is a widely used technique to quantify the
long-term correlations of nonstationary time series and the long-range correlations of fractal …

Multifractal detrending moving-average cross-correlation analysis

ZQ Jiang, WX Zhou - Physical Review E—Statistical, Nonlinear, and Soft …, 2011 - APS
There are a number of situations in which several signals are simultaneously recorded in
complex systems, which exhibit long-term power-law cross correlations. The multifractal …

The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion

L Lacasa, B Luque, J Luque, JC Nuno - Europhysics Letters, 2009 - iopscience.iop.org
Fractional Brownian motion (fBm) has been used as a theoretical framework to study real-
time series appearing in diverse scientific fields. Because of its intrinsic nonstationarity and …

Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces

XY Qian, YM Liu, ZQ Jiang, B Podobnik, WX Zhou… - Physical Review E, 2015 - APS
When common factors strongly influence two power-law cross-correlated time series
recorded in complex natural or social systems, using detrended cross-correlation analysis …

Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time series

YH Shao, GF Gu, ZQ Jiang, WX Zhou, D Sornette - Scientific reports, 2012 - nature.com
Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC)
and to compare their performance, no clear consensus exists on what is the best method …

Multifractal height cross-correlation analysis: A new method for analyzing long-range cross-correlations

L Kristoufek - Europhysics Letters, 2011 - iopscience.iop.org
We introduce a new method for the detection of long-range cross-correlations and
multifractality—multifractal height cross-correlation analysis (MF-HXA)—based on scaling of …

Fractional Brownian motion with random Hurst exponent: Accelerating diffusion and persistence transitions

M Balcerek, K Burnecki, S Thapa… - … Journal of Nonlinear …, 2022 - pubs.aip.org
Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary
long-correlated increments, has been identified to give rise to the anomalous diffusion …

Dynamical generalized Hurst exponent as a tool to monitor unstable periods in financial time series

R Morales, T Di Matteo, R Gramatica, T Aste - Physica A: statistical …, 2012 - Elsevier
We investigate the use of the Hurst exponent, dynamically computed over a weighted
moving time-window, to evaluate the level of stability/instability of financial firms. Financial …

Fractal and multifractal analysis of LiF thin film surface

RP Yadav, S Dwivedi, AK Mittal, M Kumar… - Applied Surface …, 2012 - Elsevier
Fractal and multifractal analysis is performed on the atomic force microscopy (AFM) images
of the surface morphologies of the LiF thin films of thickness 10nm, 20nm, and 40nm …