SIAM Conference on Uncertainty Quantification (UQ26)

This is the conference of the SIAM Activity Group on Uncertainty Quantification.

This conference is being held in cooperation with the American Statistical Association (ASA).

Uncertainty quantification (UQ) is essential for establishing the reliability of predictions made by computational models. Such models are often deterministic, and the UQ discipline has traditionally focused on how to quantify uncertainty in that case. Statistical methods play a major role in that effort, and represent an alternative modeling strategy when less is known about the system of interest. The two approaches are naturally synergistic, and with the emergence of machine learning as a practical tool, it is becoming more important than ever to view the whole UQ ecosystem through a unifying lens.

You may also like the following events from Society for Industrial and Applied Mathematics:

• Next Sunday, 11th January, 09:00 am, ACM-SIAM Symposium on Discrete Algorithms (SODA26) in Vancouver
• This month, 12th January, 09:00 am, SIAM Symposium on Simplicity in Algorithms (SOSA26) in Vancouver
• This March, 3rd March, 09:00 am, SIAM Conference on Parallel Processing for Scientific Computing (PP26) in Berlin

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