Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth
Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth
We consider the inverse problem of parameter estimation in a diffuse interface model for tumor growth. The model consists of a fourth-order Cahn--Hilliard system and contains three phenomenological parameters: the tumor proliferation rate, the nutrient consumption rate, and the chemotactic sensitivity. We study the inverse problem within the Bayesian framework …