The scope of UQSay seminars includes :
👉 UQ methodology in a broad sense
- propagation of uncertainty in numerical models,
- sensitivity analysis,
- design and analysis of computer experiments,
- surrogate models, multi-fidelity,
- reliability analysis, inversion, (Bayesian) optimization,
- representations and elicitation of uncertainty,
- verification and validation of numerical models,
- data assimilation, calibration,
- any topic in proba / stats / numerical analysis related to the above,
- …
👉 and (of course) applications
- engineering, physical sciences,
- biology and medical sciences,
- environment
- …
(and by the way: UQ stands for « Uncertainty Quantification » 😉)
