Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers
- Submitting institution
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The University of Liverpool
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12413
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2016.12.023
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 379
- Volume
- 93
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper was followed by the award of 2.5M EPSRC proposal, ?Big Hypotheses? (EP/R018537/1), where the method is applied to numerical and experimental case studies.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -