Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial

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Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial

In this work we present a pedagogical tumour growth example, in which we apply calibration and validation techniques to an uncertain, Gompertzian model of tumour spheroid growth. The key contribution of this article is the discussion and application of these methods (that are not commonly employed i...

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Bibliographic Details
Main Authors:	Collis, Joe, Connor, Anthony J., Paczkowski, Marcin, Kannan, Pavitra, Pitt-Francis, Joe, Byrne, Helen M., Hubbard, Matthew E.
Format:	Article
Published:	Springer 2017
Subjects:	Bayesian Calibration Tumour Growth Model Validation
Online Access:	https://eprints.nottingham.ac.uk/40823/

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