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: | , , , , , , |
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| 格式: | Journal article |
| 出版: |
Ubiquity Press
2019
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