activity
20032024
most citedTime lagged ordinal partition networks for capturing dynamics of continuous dynamical systems

159 citations · 377 across the 16 of their papers we have counts for

collaborators

17 papers

q-bio.QM2024

A Selfish Herd with a Target

Thomas Stemler, Shannon Dee Algar, Jesse Zhou

One of the most striking phenomena in biological systems is the tendency for biological agents to spatially aggregate, and subsequently display further collective behaviours such a…

physics.data-an2024★ 7 cited

Regime change detection in irregularly sampled time series

Norbert Marwan, Deniz Eroglu, Ibrahim Ozken +3

Irregular sampling is a common problem in palaeoclimate studies. We propose a method that provides regularly sampled time series and at the same time a difference filtering of the…

stat.ME2023★ 1 cited

Model Calibration and Validation From A Statistical Inference Perspective

Samson Ting, Thomas Lymburn, Thomas Stemler +2

Despite the general consensus in transport research community that model calibration and validation are necessary to enhance model predictive performance, there exist significant i…

physics.data-an2023

Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations

Connor Duffin, Paul Branson, Matt Rayson +3

The abundance of observed data in recent years has increased the number of statistical augmentations to complex models across science and engineering. By augmentation we mean coher…

math.DS2023★ 72 cited

Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology

Eugene Tan, Shannon Algar, Débora Corrêa +3

Delay embedding methods are a staple tool in the field of time series analysis and prediction. However, the selection of embedding parameters can have a big impact on the resulting…

math.DS2022★ 6 cited

Backpropagation on Dynamical Networks

Eugene Tan, Débora Corrêa, Thomas Stemler +1

Dynamical networks are versatile models that can describe a variety of behaviours such as synchronisation and feedback. However, applying these models in real world contexts is dif…