Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

This book is a course in methods and models rooted in physics and used in modelling
economic and social phenomena. It covers the discipline of econophysics, which creates an …

Background Zipf's law and Heaps' law are two representatives of the scaling concepts,
which play a significant role in the study of complexity science. The coexistence of the Zipf's …

We investigate the cumulative probability density function (PDF) and the multiscaling
properties of the returns in the Chinese stock market. By using returns data adjusted for thin …

One of the principal statistical features characterizing the activity in financial markets is the
distribution of fluctuations in market indicators such as the index. While the developed stock …

We propose an approach for properly analyzing stochastic time series by mapping the
dynamics of time series fluctuations onto a suitable nonequilibrium surface-growth problem …

Power law distributions are very common in natural sciences. We analyze high frequency
financial data from XETRA and the NYSE using maximum likelihood estimation and the …

Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

In this thesis we put forward a new set of ideas to open the way to experimentally distinguish
various stages in the micro-development of fatigue using the framework of the self-organized …

La generación de conocimiento a través del aprendizaje en los seres humanos es realizado
por el cerebro a través de interrelaciones no lineales de varias capas y tipos de neuronas …