ABSTRACT
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 m
TABLE OF CONTENTS
part I|2 pages
I Modelling and networks
part II|2 pages
Stochastic processes and simulation
part III|2 pages
III Stochastic chemical kinetics
part IV|2 pages
IV Bayesian inference