Stochastic Modelling for Systems Biology, Third Edition (3rd ed.)

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. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical