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17 papers · 1 filter
Effective one-dimension reduction of multi-compartment complex systems dynamics
Giorgio Vittorio Visco, Johannes Nauta, Tomas Scagliarini +2
A broad class of systems, including ecological, epidemiological, and sociological ones, are characterized by populations of individuals assigned to specific categories, e.g., a che…
Entropy estimators for Markovian sequences: A comparative analysis
Juan De Gregorio, David Sanchez, Raul Toral
Entropy estimation is a fundamental problem in information theory that has applications in various fields, including physics, biology, and computer science. Estimating the entropy…
Network percolation provides early warnings of abrupt changes in coupled oscillatory systems: An explanatory analysis
Noémie Ehstand, Reik V. Donner, Cristóbal López +1
Functional networks are powerful tools to study statistical interdependency structures in spatially extended or multivariable systems. They have been used to get insights into the…
An improved estimator of Shannon entropy with applications to systems with memory
Juan De Gregorio, David Sanchez, Raul Toral
We investigate the memory properties of discrete sequences built upon a finite number of states. We find that the block entropy can reliably determine the memory for systems modele…
Liquid-Hexatic-Solid phases in active and passive Brownian particles determined by stochastic birth and death events
Alejandro Almodóvar, Tobias Galla, Cristóbal López
We study the effects of stochastic birth and death processes on the structural phases of systems of active and passive Brownian particles subject to volume exclusion. The total num…
Network Meta-Analysis: A Statistical Physics Perspective
Annabel L. Davies, Tobias Galla
Network meta-analysis (NMA) is a technique used in medical statistics to combine evidence from multiple medical trials. NMA defines an inference and information processing problem…