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The Bayes linear approach to emulation and history matching for complex computer simulators

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FHTW01 - Uncertainty quantification for cardiac models

This talk gives an overview of the Bayes linear approach for
uncertainty quantification for complex computer models. The approach is
based around careful structural model discrepancy analysis and Bayes
linear emulation as a basis for history matching against real system
data. The approach will be illustrated in the context of monitoring
post-operative complications following cardiac surgery.

This talk is part of the Isaac Newton Institute Seminar Series series.

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