Statistical mechanics and information-theoretic perspectives on complexity in the earth system
This review provides a summary of methods originated in (non-equilibrium) statistical
mechanics and information theory, which have recently found successful applications to …
mechanics and information theory, which have recently found successful applications to …
Distributed job scheduling based on Swarm Intelligence: A survey
Scientists and engineers need computational power to satisfy the increasing resource
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
Quantification of network structural dissimilarities
Identifying and quantifying dissimilarities among graphs is a fundamental and challenging
problem of practical importance in many fields of science. Current methods of network …
problem of practical importance in many fields of science. Current methods of network …
Permutation Jensen-Shannon distance: A versatile and fast symbolic tool for complex time-series analysis
The main motivation of this paper is to introduce the permutation Jensen-Shannon distance,
a symbolic tool able to quantify the degree of similarity between two arbitrary time series …
a symbolic tool able to quantify the degree of similarity between two arbitrary time series …
Network comparison and the within-ensemble graph distance
Quantifying the differences between networks is a challenging and ever-present problem in
network science. In recent years, a multitude of diverse, ad hoc solutions to this problem …
network science. In recent years, a multitude of diverse, ad hoc solutions to this problem …
Jensen-Detrended Cross-Correlation function for non-stationary time series with application to Latin American stock markets
JE Contreras-Reyes, F Jeldes-Delgado… - Physica A: Statistical …, 2024 - Elsevier
Variance has an important role in statistics and information theory fields, by forming the
basis for many well-known information measures. Based on Jensen's inequality and …
basis for many well-known information measures. Based on Jensen's inequality and …
netrd: A library for network reconstruction and graph distances
Over the last two decades, alongside the increased availability of large network datasets, we
have witnessed the rapid rise of network science. For many systems, however, the data we …
have witnessed the rapid rise of network science. For many systems, however, the data we …
Jensen-autocorrelation function for weakly stationary processes and applications
JE Contreras-Reyes - Physica D: Nonlinear Phenomena, 2024 - Elsevier
The Jensen-variance (JV) information based on Jensen's inequality and variance has been
previously proposed to measure the distance between two random variables. Based on the …
previously proposed to measure the distance between two random variables. Based on the …
Time series characterization via horizontal visibility graph and Information Theory
Complex networks theory have gained wider applicability since methods for transformation
of time series to networks were proposed and successfully tested. In the last few years …
of time series to networks were proposed and successfully tested. In the last few years …
Analyzing fish condition factor index through skew-gaussian information theory quantifiers
JE Contreras-Reyes - Fluctuation and Noise Letters, 2016 - World Scientific
Biological-fishery indicators have been widely studied. As such the condition factor (CF)
index, which interprets the fatness level of a certain species based on length and weight …
index, which interprets the fatness level of a certain species based on length and weight …