The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates
Sobol′, I. M. (2001) · Mathematics and Computers in Simulation · doi:10.1016/s0378-4754(00)00270-6 · Cited by 6,389
Cited by
A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach
Bogoevska, S., Spiridonakos, M., Chatzi, E., Dumova-Jovanoska, E., & Höffer, R. (2017) · Sensors · doi:10.3390/s17040720 · Cited by 60
Metadata
- Authors
- Oladyshkin, S., & Nowak, W.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 106
- Pages
- 179-190
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2113337191
- Cited by
- 451
- References
- 2
- FWCI
- 15.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. https://app.cochat.ai/papers/10.1016/j.ress.2012.05.002
- The paper
- Oladyshkin, S., & Nowak, W. (2012). Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2012.05.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
