Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling.
- DOI
- 10.1016/j.chroma.2023.464329
- Published
- 2023 Oct 11
- Container
- Journal of chromatography. A
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.chroma.2023.464329,
title = {Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling.},
author = {Heymann W and Glaser J and Schlegel F and Johnson W and Rolandi P and von Lieres E},
year = {2023},
journal = {Journal of chromatography. A},
doi = {10.1016/j.chroma.2023.464329},
url = {https://doi.org/10.1016/j.chroma.2023.464329}
}RIS
TY - JOUR TI - Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling. AU - Heymann W AU - Glaser J AU - Schlegel F AU - Johnson W AU - Rolandi P AU - von Lieres E PY - 2023 JO - Journal of chromatography. A DO - 10.1016/j.chroma.2023.464329 UR - https://doi.org/10.1016/j.chroma.2023.464329 ER -
APA
W, H., J, G., F, S., W, J., P, R., & E, V. L. (2023). Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling.. Journal of chromatography. A. https://doi.org/10.1016/j.chroma.2023.464329
Source records
- pubmed · retrieved 2026-09-25T10:41:42.075Z
- europe-pmc · retrieved 2026-09-25T10:41:42.060Z