Invariant Image Reparameterisation: Bridging Symbolic and Numerical Methods for Identifiability Analysis, Model Reduction, and Prediction
- DOI
- 10.1016/j.mbs.2026.109844
- Published
- 2026-11
- Container
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.mbs.2026.109844,
title = {Invariant Image Reparameterisation: Bridging Symbolic and Numerical Methods for Identifiability Analysis, Model Reduction, and Prediction},
author = {Oliver J. Maclaren and Ruanui Nicholson and Joel A. Trent and Joshua Rottenberry and Matthew J. Simpson},
year = {2026},
journal = {Mathematical Biosciences},
doi = {10.1016/j.mbs.2026.109844},
url = {https://doi.org/10.1016/j.mbs.2026.109844}
}RIS
TY - JOUR TI - Invariant Image Reparameterisation: Bridging Symbolic and Numerical Methods for Identifiability Analysis, Model Reduction, and Prediction AU - Oliver J. Maclaren AU - Ruanui Nicholson AU - Joel A. Trent AU - Joshua Rottenberry AU - Matthew J. Simpson PY - 2026 JO - Mathematical Biosciences DO - 10.1016/j.mbs.2026.109844 UR - https://doi.org/10.1016/j.mbs.2026.109844 ER -
APA
Maclaren, O. J., Nicholson, R., Trent, J. A., Rottenberry, J., & Simpson, M. J. (2026). Invariant Image Reparameterisation: Bridging Symbolic and Numerical Methods for Identifiability Analysis, Model Reduction, and Prediction. Mathematical Biosciences. https://doi.org/10.1016/j.mbs.2026.109844
Source records
- crossref · retrieved 2026-11-04T12:50:02.370Z