Probabilistic Inference on Noisy Time Series (PINTS)
(2019)
Journal Article
Clerx, M., Robinson, M., Lambert, B., Lei, C. L., Ghosh, S., Mirams, G. R., & Gavaghan, D. J. (2019). Probabilistic Inference on Noisy Time Series (PINTS). Journal of Open Research Software, 7(1), 23. https://doi.org/10.5334/jors.252
Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system’s behaviour changes over time. A key problem in time series modelling is inference; determining properties of the underlying syst... Read More about Probabilistic Inference on Noisy Time Series (PINTS).