Probabilistic inference on noisy time series (PINTS)
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 system based on observed time series. For both stati...
Prif Awduron: | Clerx, M, Robinson, M, Lambert, B, Lei, C, Ghosh, S, Mirams, G, Gavaghan, D |
---|---|
Fformat: | Journal article |
Cyhoeddwyd: |
Ubiquity Press
2019
|
Eitemau Tebyg
-
Probabilistic Inference on Noisy Time Series (PINTS)
gan: Michael Clerx, et al.
Cyhoeddwyd: (2019-07-01) -
Filter inference: a scalable nonlinear mixed effects inference approach for snapshot time series data
gan: Augustin, D, et al.
Cyhoeddwyd: (2023) -
Ageing Men and Therapeutic Pints in Roddy Doyle’s Two Pints
gan: Burcu Gülüm Tekin
Cyhoeddwyd: (2017-03-01) -
The First Pint of Science Festival in Asia
gan: Robinson, M, et al.
Cyhoeddwyd: (2017) -
Evaluation of the Pint of Science festival in Thailand
gan: Adhikari, B, et al.
Cyhoeddwyd: (2019)