Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds

Bayesian techniques for engineering problems, which rely on Gaussian process (GP) regression, are known for their ability to quantify epistemic and aleatory uncertainties and for being data efficient. The mathematical elegance of applying these methods usually comes at a high computational cost when...

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Detalles Bibliográficos
Autores principales: Tsilifis, Panagiotis, Pandita, Piyush, Ghosh, Sayan, Wang, Liping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497729/
https://www.ncbi.nlm.nih.gov/pubmed/36141177
http://dx.doi.org/10.3390/e24091291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497729/
https://www.ncbi.nlm.nih.gov/pubmed/36141177
http://dx.doi.org/10.3390/e24091291

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