University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Quantifying Uncertainty in Model Predictions

Quantifying Uncertainty in Model Predictions

Add to your list(s) Download to your calendar using vCal

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

Infectious Disease Dynamics

Quantifying uncertainty in a model’s predictions is crucial if we are to have faith in those predictions. Uncertainties arise from a number of sources, including uncertainty in the values of the model’s parameters (parametric uncertainty), uncertainty in the structure of the model and stochasticity in the model’s dynamics. In this talk I will discuss and apply a number of uncertainty quantification (UQ) techniques to simple disease transmission models.

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

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity