Probabilistic inference on noisy time series (PINTS)

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...

書誌詳細
主要な著者:	Clerx, M, Robinson, M, Lambert, B, Lei, C, Ghosh, S, Mirams, G, Gavaghan, D
フォーマット:	Journal article
出版事項:	Ubiquity Press 2019

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