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Surrogate Models: Probabilistic Methods for Uncertainty Quantification Webinar Series

Nov 17, 2020
Go to Probabilistic Methods webinar

Free Webinar: Surrogate Models

Join us Tuesday, November 17, 2020, at 12:00 p.m.–1:00 p.m. (U.S. Central Time)

Host: John McFarland

Surrogate models, also known as response surface models or emulators, constitute a powerful technique that enables a variety of analyses, including probabilistic assessments, which could otherwise be computationally prohibitive due to runtimes associated with detailed engineering models.  This webinar will give an overview of the topic, including design of computer experiments, types of surrogate models, and goodness of fit assessment.  Special focus will be given to the Gaussian Process surrogate modeling method, which is widely used due to its flexibility and accuracy, even in situations with very limited data.

For more information, please contact John McFarland.