Stochastic Modelling for Systems Biology (2nd ed.)

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Description

Since the first edition of Stochastic Modelling for Systems Biology , there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a

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