10.1 Likelihood and Bayesian inference
The final part of this book turns attention away from probabilistic modelling and stochastic simulation tools appropriate for systems biology models and toward statistical inference for the parameters of such models on the basis of experimental data. Although most of the earlier parts of the book are intended to be largely self-contained, these last chapters are likely to be more accessible to readers with a basic familiarity with ideas of estimation and statistical inference, including the concepts of likelihood, Bayesian analysis, and multivariate statistics. A standard text on mathematical statistics such as Rice (2007) should provide most of the necessary back-ground. ...
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