The concepts and models of multifractals have been employed in various fields in the geosciences to characterize singular fields caused by nonlinear geoprocesses. Several indices involved in multifractal models, i.e., asymmetry, multifractality, and range of singularity, are commonly used to characterize nonlinear properties of multifractal fields. An understanding of how these indices are related to the processes involved in the generation of multifractal fields is essential for multifractal modeling. In this paper, a five-parameter binomial multiplicative cascade model is proposed based on the anisotropic partition processes. Each partition divides the unit set (1-D length or 2-D area) into h equal subsets (segments or subareas) and m1 of...
‘‘Divergence of high moments and dimension of the carrier’ ’ is the subtitle of Mandelbrot’s 1974 se...
International audienceWe propose a new statistical model that can reproduce the hierarchical nature ...
The need of understanding and modelling the space-time variability of natural processes in geoscienc...
International audienceMultifractal analysis of multiplicative random cascades is revisited within th...
Multifractal analysis of multiplicative random cascades is revis-ited within the framework of mixed ...
In turbulent and other nonlinear geophysical processes, extreme variability is built up multiplicati...
International audienceWe show how a joint multifractal analysis of a collection of signals unravels ...
A new multiplicity distribution with multifractal properties which can be used in high-energy physic...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
A widely applicable analysis of numerical data shows that, while the distribution of avalanche areas...
We investigate numerically apparent multi-fractal behavior of samples from synthetically generated p...
In the study of the involved geometry of singular distributions the use of fractal and multifractal ...
International audienceGenerating a missing half of multifractal fields with a blunt extension of dis...
In this paper we study a binary random multiplicative cascade. Specifically, the cascade is used to ...
A widely applicable analysis of numerical data shows that, while the distribution of avalanche areas...
‘‘Divergence of high moments and dimension of the carrier’ ’ is the subtitle of Mandelbrot’s 1974 se...
International audienceWe propose a new statistical model that can reproduce the hierarchical nature ...
The need of understanding and modelling the space-time variability of natural processes in geoscienc...
International audienceMultifractal analysis of multiplicative random cascades is revisited within th...
Multifractal analysis of multiplicative random cascades is revis-ited within the framework of mixed ...
In turbulent and other nonlinear geophysical processes, extreme variability is built up multiplicati...
International audienceWe show how a joint multifractal analysis of a collection of signals unravels ...
A new multiplicity distribution with multifractal properties which can be used in high-energy physic...
11 pages, 1 figure, final version,International audienceThe analysis of the linearization effect in ...
A widely applicable analysis of numerical data shows that, while the distribution of avalanche areas...
We investigate numerically apparent multi-fractal behavior of samples from synthetically generated p...
In the study of the involved geometry of singular distributions the use of fractal and multifractal ...
International audienceGenerating a missing half of multifractal fields with a blunt extension of dis...
In this paper we study a binary random multiplicative cascade. Specifically, the cascade is used to ...
A widely applicable analysis of numerical data shows that, while the distribution of avalanche areas...
‘‘Divergence of high moments and dimension of the carrier’ ’ is the subtitle of Mandelbrot’s 1974 se...
International audienceWe propose a new statistical model that can reproduce the hierarchical nature ...
The need of understanding and modelling the space-time variability of natural processes in geoscienc...