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...
Main Authors: | Clerx, M, Robinson, M, Lambert, B, Lei, C, Ghosh, S, Mirams, G, Gavaghan, D |
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Formato: | Journal article |
Publicado em: |
Ubiquity Press
2019
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