University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Engineering-Driven Statistical Adjustment and Calibration

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Engineering-Driven Statistical Adjustment and Calibration

Download to your calendar using vCal

If you have a question about this talk, please contact Mustapha Amrani .

Design and Analysis of Experiments

There can be discrepancy between physics-based models and reality, which can be reduced by statistically adjusting and calibrating the models using real data. Gaussian process models are commonly used for capturing the bias between the physics-based model and the truth. Although this is a powerful approach, the resulting adjustment can be quite complex and physically non-interpretable. A different approach is proposed here which is to postulate adjustment models based on the engineering judgment of the observed discrepancy. This often leads to models that are very simple and easy to interpret. The approach will be illustrated using many real case studies.

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

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Seminars in Ageing Research Room GS15 at the William Gates Building and on Zoom: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon Wolfson LT, Department of Chemistry, Lensfield Road

Other talks

Discussion II continued Coming soon Morning Tea and Coffee Cooperation for Nature External Seminar - Hilde Nelissen TBC TBC
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity