Date Recorded: Tuesday, February 9, 2021
Host: Erin DeCarlo
SwRI is pleased to present a webinar on Bayesian statistics. This is the seventh webinar in a series on probabilistic methods for uncertainty quantification in engineering applications.
This webinar will give an introduction and overview of the use of Bayesian statistics to support uncertainty quantification for engineering applications. Bayesian analysis provides a framework for quantifying uncertainties that are due to limited data. We will review the categorization of uncertainties as aleatory and epistemic and discuss examples of some of the many ways that Bayesian methods can be applied towards real-world problems in engineering.
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