Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 10-10307
- Type
- D - Journal article
- DOI
-
10.1098/rsif.2019.0114
- Title of journal
- Journal of the Royal Society: Interface
- Article number
- 20190114
- First page
- -
- Volume
- 16
- Issue
- 156
- ISSN
- 1742-5689
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
http://eprints.gla.ac.uk/186333/
- Supplementary information
-
-
- 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
-
8
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
