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 statist...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2019-07-01
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| Series: | Journal of Open Research Software |
| Subjects: | |
| Online Access: | https://openresearchsoftware.metajnl.com/articles/252 |