Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …

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 …

In this paper, the multifractality degree in a collection of developed and emerging stock
market indices is evaluated. Empirical results suggest that the multifractality degree can be …

One-dimensional detrended fluctuation analysis (DFA) and multifractal detrended fluctuation
analysis (MFDFA) are widely used in the scaling analysis of fractal and multifractal time …

Multifractal analysis is considered a promising tool for image processing, notably for texture
characterization. However, practical operational estimation procedures based on a …

In this paper, we investigate the cross-correlations between three benchmark
cryptocurrencies (including Bitcoin, Ethereum and Ripple) and some of the well-known …

We define a large class of continuous time multifractal random measures and processes
with arbitrary log infinitely divisible exact or asymptotic scaling law. These processes …

We elaborate on a unified thermodynamic description of multifractal distributions including
measures and functions. This new approach relies on the computation of partition functions …

We apply the 2D wavelet transform (WTMM) method to perform a multifractal analysis of
digitized mammograms. We show that normal regions display monofractal scaling properties …

We study the multifractal nature of daily price and volatility returns of Latin-American stock
markets employing the multifractal detrended fluctuation analysis. Comparing with the …