Calibrating models of cancer invasion: parameter estimation using approximate Bayesian computation and gradient matching

Yunchen Xiao^*, Len Thomas, Mark Andrew Joseph Chaplain

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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All simulation results, figures and code regarding the manuscript: Calibrating models of cancer invasion: parameter estimation using Approximate Bayesian Computation and gradient matching
Xiao, Y. (Contributor), Thomas, L. (Contributor) & Chaplain, M. (Contributor), Dryad, 26 Mar 2020
DOI: 10.5061/dryad.mkkwh70z2
Dataset
Applications of likelihood-free parameter inference methods on numerical models of cancer invasion (thesis data)
Xiao, Y. (Creator), Chaplain, M. A. J. (Supervisor) & Thomas, L. (Supervisor), University of St Andrews, 16 Aug 2022
DOI: 10.17630/f2a34bdc-d9a0-4dcf-8eb1-9d6c1a79af95, http://hdl.handle.net/10023/25952
Dataset: Thesis dataset

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