18. Stochastic Dynamical Systems

  1. Michael P. H. Stumpf2,
  2. David J. Balding3 and
  3. Mark Girolami4
  1. Darren J. Wilkinson

Published Online: 12 SEP 2011

DOI: 10.1002/9781119970606.ch18

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology

How to Cite

Wilkinson, D. J. (2011) Stochastic Dynamical Systems, in Handbook of Statistical Systems Biology (eds M. P. H. Stumpf, D. J. Balding and M. Girolami), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119970606.ch18

Editor Information

  1. 2

    Division of Molecular Biosciences, Imperial College London, UK

  2. 3

    Institute of Genetics, University College London, UK

  3. 4

    Department of Statistical Science, University College London, UK

Author Information

  1. School of Mathematics and Statistics, Newcastle University, Newcastle-upon-Tyne, UK

Publication History

  1. Published Online: 12 SEP 2011
  2. Published Print: 21 OCT 2011

ISBN Information

Print ISBN: 9780470710869

Online ISBN: 9781119970606

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Keywords:

  • stochastic dynamical systems;
  • modelling intrinsic stochasticity;
  • stochastic chemical kinetics;
  • reaction networks;
  • likelihood-based inference;
  • MCMC algorithms;
  • capture heterogeneity;
  • stochastic model development

Summary

This chapter contains sections titled:

  • Introduction

  • Origins of stochasticity

  • Stochastic chemical kinetics

  • Inference for Markov process models

  • Conclusions

  • Acknowledgements

  • References