Bayesian uncertainty analysis for complex physical systems modelled by computer simulators with applications to tipping points
- Submitting institution
-
University of Durham
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 98885
- Type
- D - Journal article
- DOI
-
10.1016/j.cnsns.2015.02.006
- Title of journal
- Communications in Nonlinear Science and Numerical Simulation
- Article number
- -
- First page
- 123
- Volume
- 26
- Issue
- 1-3
- ISSN
- 10075704
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1016/j.cnsns.2015.02.006
- 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
-
1
- Research group(s)
-
B - Probability & Statistics: Statistics
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
