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Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case
Research article (Chaos An Interdisciplinary Journal of Nonlinear Science, 2022) · cited 19× · AI/ML
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case
Summary
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case is a scholarly article[1].
Key Facts
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case. Retrieved May 24, 2026, from https://4ort.xyz/entity/discovery-of-interpretable-structural-model-errors-by-combining-bayesian-sparse-regression-and-data-assimilation-a-chaot
MLA“Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discovery-of-interpretable-structural-model-errors-by-combining-bayesian-sparse-regression-and-data-assimilation-a-chaot.
BibTeX@misc{4ortxyz_discovery-of-interpretable-structural-model-errors-by-combining-bayesian-sparse-regression-and-data-assimilation-a-chaot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case}}, year = {2026}, url = {https://4ort.xyz/entity/discovery-of-interpretable-structural-model-errors-by-combining-bayesian-sparse-regression-and-data-assimilation-a-chaot}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case — https://4ort.xyz/entity/discovery-of-interpretable-structural-model-errors-by-combining-bayesian-sparse-regression-and-data-assimilation-a-chaot (retrieved 2026-05-24)
