Approximate Bayesian Computation Scheme For Parameter Inference And Model Selection In Dynamical Systems

Main Category: Biology / Biochemistry
Article Date: 10 Jul 2008 - 4:00 PDT

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For the vast majority of biological systems we have no idea as to which mathematical description is best and this ignorance seriously hinders progress in many areas of the biomedical sciences.

Unfortunately, parameters often cannot be measured experimentally.

We developed a new statistical technique applicable to models that can be easily simulated, and for which a time series data is available.

Moreover, the technique can choose between different hypotheses biologists make about the system, even when hypotheses cannot be experimentally tested.

Journal of the Royal Society Interface

Journal of the Royal Society Interface is the Society's cross-disciplinary publication promoting research at the interface between the physical and life sciences. It offers rapidity, visibility and high-quality peer review and is ranked fifth in JCR's multidisciplinary category.

Journal of the Royal Society Interface

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