Dr Philip Clemson
Senior Research AssociateResearch Overview
I am a researcher specialising in the time series analysis of complex systems. This includes the analysis of chaotic and stochastic data but in particular data from non-autonomous (time-dependent) systems. Time series from these kinds of systems require particular attention and care. This is of great importance to the analysis of living systems.
I have also spent several years in industry developing algorithms for medical devices and wearable technology. In addition, I have been involved in the development of new numerical Bayesian statistical techniques based on Markov chain Monte Carlo and sequential Monte Carlo.
Loading Publications
Application of phase shift in the systolic-diastolic pressure variability for diagnosis of autonomic neuropathy
01/07/2024 → 06/09/2024
Research
Network dynamics-based standards for endothelial health
13/11/2023 → 01/11/2024
Research
- Nonlinear and Biomedical Physics