no code implementations • 1 Jul 2023 • David K. E. Green, Adam Jaspan
In this paper we apply Uncertainty Quantification (UQ) techniques by implementing a Bayesian approach to anomaly detection and forecasting for inclinometer data.
1 code implementation • 26 May 2020 • David K. E. Green, Filip Rindler
Bayesian Artificial Neural Networks can be used to simultaneously fit a model and estimate model parameter uncertainty.
no code implementations • 6 Aug 2019 • David K. E. Green, Filip Rindler
This work introduces a parametric polynomial kernel method that can be used for inferring the future behaviour of Ordinary Differential Equation models, including chaotic dynamical systems, from observations.