Stochastic Models That Separate Fractal Dimension and the Hurst Effect
@article{Gneiting2004StochasticMT, title={Stochastic Models That Separate Fractal Dimension and the Hurst Effect}, author={Tilmann Gneiting and Martin Schlather}, journal={SIAM Rev.}, year={2004}, volume={46}, pages={269-282} }
Fractal behavior and long-range dependence have been observed in an astonishing number of physical, biological, geological, and socioeconomic systems. Time series, profiles, and surfaces have been characterized by their fractal dimension, a measure of roughness, and by the Hurst coefficient, a measure of long-memory dependence. Both phenomena have been modeled and explained by self-affine random functions, such as fractional Gaussian noise and fractional Brownian motion. The assumption of…
389 Citations
Integer-dimensional fractals of nonlinear dynamics, control mechanisms, and physical implications
- PhysicsScientific Reports
- 2018
It is found that fractals of self-regulating systems can be measured by integer dimensions, and these findings suggest that fractal control mechanisms, physical implications, and relations to nonlinear dynamics have not yet been fully clarified.
Motivating the fractal dimension
- Physics
- 2019
Many methods exist for quantifying the fractal characteristics of a structure via a fractal dimension. As a traditional example, a fractal dimension of a spatial fractal structure may be quantified…
On streamwise velocity spectra models with fractal and long-memory effects
- Environmental Science
- 2021
Using theoretical arguments, we present two novel spectrum models of the streamwise velocity component with robust correlation structures, which account for and decouple the fractal dimension and…
Modeling network traffic using Cauchy correlation model with long-range dependence
- Computer Science
- 2005
The Cauchy correlation model is utilized, a new power-law correlation model for LRD traffic modeling with its local and global behavior decoupling, whose flexibility in data modeling in comparison with a single parameter model of FGN is briefly discussed, and applications to L RD traffic modeling demonstrated.
Fractal Analysis of Time-Series Data Sets: Methods and Challenges
- PhysicsFractal Analysis
- 2019
This chapter introduces and investigates a variety of fractal analysis techniques directed to time-series structures, and investigates the fidelity of such techniques by applying each technique to sets of computer-generated timeseries data sets with well-defined fractal characteristics.
General fractal topography: an open mathematical framework to characterize and model mono-scale-invariances
- MathematicsNonlinear Dynamics
- 2019
In this work, we reported there are two kinds of independent complexities in mono-scale-invariance, namely to be behavioral complexity determined by fractal behavior and original one wrapped in…
Harmonic oscillator driven by random processes having fractal and Hurst effects
- Mathematics
- 2015
While the response of a damped harmonic oscillator to random excitation offers the basic model in mechanics, stochastic dynamics, and stochastic fatigue of structures, the response due to random…
Fractal Time Series—A Tutorial Review
- Mathematics
- 2010
Fractal time series substantially differs from conventional one in its statistic properties. For instance, it may have a heavy-tailed probability distribution function (PDF), a slowly decayed…
Lamb's problem on random mass density fields with fractal and Hurst effects
- PhysicsProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
- 2016
This paper reports on a generalization of Lamb's problem to a linear elastic, infinite half-space with random fields (RFs) of mass density, subject to a normal line load, and determines to what extent the fractal or the Hurst parameter is a significant factor in altering the solution to the planar stochastic Lamb's Problem.
References
SHOWING 1-10 OF 71 REFERENCES
Evaluating the fractal dimension of profiles.
- MathematicsPhysical review. A, General physics
- 1989
The variation method for one-dimensional (1D) profiles is presented and it is shown that, in the limit, it is equivalent to the classical box-counting method and the result is an algorithm for reliably estimating the fractal dimension of 1D profiles.
Fractal analysis of surface roughness by using spatial data
- Physics
- 1999
We develop fractal methodology for data taking the form of surfaces. An advantage of fractal analysis is that it partitions roughness characteristics of a surface into a scale‐free component (fractal…
Characterizing surface smoothness via estimation of effective fractal dimension
- Physics
- 1994
The fractal dimension D of stationary Gaussian surfaces may be expressed very simply in terms of behaviour of the covariance function near the origin. Indeed, only the covariance of line transect…
On the performance of box-counting estimators of fractal dimension
- Mathematics
- 1993
SUMMARY Box-counting estimators are popular for estimating fractal dimension. However, very little is known of their stochastic properties, despite increasing statistical interest in their…
Fractals: A User's Guide for the Natural Sciences
- Environmental Science
- 1993
This paper presents a meta-analyses of the behaviour of density-dependent populations under random noise and the role of Fourier transform in this behaviour.
Power-law correlations, related models for long-range dependence and their simulation
- MathematicsJournal of Applied Probability
- 2000
Martin and Walker ((1997) J. Appl. Prob. 34, 657–670) proposed the power-law ρ(v) = c|v|-β, |v| ≥ 1, as a correlation model for stationary time series with long-memory dependence. A straightforward…
Extending self-similarity for fractional Brownian motion
- MathematicsIEEE Trans. Signal Process.
- 1994
This article investigates the idea of extending self-similarity to create a correlation model that generalizes discrete fBm referred to as asymptoticfBm (afBm), and proposes a fast parameter estimation algorithm for afBm based on the Haar transform.
Fractal physiology
- PhysicsIEEE Engineering in Medicine and Biology Magazine
- 1992
The nature of fractals and the use of fractals instead of classical scaling concepts to describe the irregular surfaces, structures, and processes exhibited by physiological systems are described.…
Fractal geometry - mathematical foundations and applications
- Mathematics
- 1990
Applications and examples: fractals defined by transformations examples from number theory graphs of functions examples from pure mathematics dynamical systems iteration of complex functions-Julia sets random fractals Brownian motion and Brownian surfaces multifractal measures physical applications.
Topographic correlation, power-law covariance functions, and diffusion
- Mathematics
- 1962
Evidence from agricultural uniformity trials strongly indicates that the covariance function of yield in the plane, r(s), decays ultimately as s8-, the inverse of distance (see ? 2 and the figure). A…