Green, PL and Maskell, S
(2017)
Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers.
Mechanical Systems and Signal Processing, 93.
379 - 396.
ISSN 0888-3270
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Item Type: | Article |
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Additional Information: | publisher: Elsevier articletitle: Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers journaltitle: Mechanical Systems and Signal Processing articlelink: http://dx.doi.org/10.1016/j.ymssp.2016.12.023 content_type: article copyright: © 2016 Elsevier Ltd. All rights reserved. |
Depositing User: | Symplectic Admin |
Date Deposited: | 21 Dec 2016 09:37 |
Last Modified: | 19 Jan 2023 07:24 |
DOI: | 10.1016/j.ymssp.2016.12.023 |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3004967 |
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Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers. (deposited 20 Dec 2016 11:21)
- Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers. (deposited 21 Dec 2016 09:37) [Currently Displayed]
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