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Found 8 papers, 2 papers with code
Unifying Pairwise Interactions in Complex Dynamics
Scientists have developed hundreds of techniques to measure the interactions between pairs of processes in complex systems.
Genome-wide networks reveal emergence of epidemic strains of Salmonella Enteritidis
Results: Outbreak isolates were identifiable as distinct components on the MLVA and SNP networks.
Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia
An outbreak of the Delta (B. 1. 617. 2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic.
How will mass-vaccination change COVID-19 lockdown requirements in Australia?
For realistic scenarios in which herd immunity is not achieved, we simulate the effects of mass-vaccination on epidemic growth rate, and investigate the requirements of lockdown measures applied to curb subsequent outbreaks.
Modelling transmission and control of the COVID-19 pandemic in Australia
We then apply the model to compare several intervention strategies, including restrictions on international air travel, case isolation, social distancing with varying levels of compliance, and school closures.
Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series
Inferring linear dependence between time series is central to our understanding of natural and artificial systems.
Methodology Information Theory Information Theory Statistics Theory Data Analysis, Statistics and Probability Neurons and Cognition Applications Statistics Theory
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy
In this work, we are interested in structure learning for a set of spatially distributed dynamical systems, where individual subsystems are coupled via latent variables and observed through a filter.
An Information Criterion for Inferring Coupling in Distributed Dynamical Systems
The behaviour of many real-world phenomena can be modelled by nonlinear dynamical systems whereby a latent system state is observed through a filter.
