Stochastic Modelling for Systems Biology, Third Edition, 3rd Edition

CHAPTER 11

Inference for stochastic kinetic models

11.1 Introduction

This chapter provides an introduction to the computational statistical techniques that can be used in order to identify stochastic kinetic models from experimental data. At this point the experimental framework envisioned is worth mentioning. Essentially, the techniques to be developed require high-resolution time-course measurements of levels of a subset of model species at the single-cell level, and will ideally be calibrated. At the time of writing, such data are relatively difficult to obtain, so it is reasonable to question the practical utility of such methods to the average systems biologist. The reality is that such data are going to be required to identify stochastic ...