26. Inference Under the Coalescent

  1. D. J. Balding2,
  2. M. Bishop3 and
  3. C. Cannings4
  1. M. Stephens

Published Online: 9 MAY 2008

DOI: 10.1002/9780470061619.ch26

Handbook of Statistical Genetics, Third Edition

Handbook of Statistical Genetics, Third Edition

How to Cite

Stephens, M. (2007) Inference Under the Coalescent, in Handbook of Statistical Genetics, Third Edition (eds D. J. Balding, M. Bishop and C. Cannings), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470061619.ch26

Editor Information

  1. 2

    Imperial College of Science, Technology and Medicine, London, UK

  2. 3

    CNR-ITB, Milan, Italy

  3. 4

    Division of Genomic Medicine, University of Sheffield, Sheffield, UK

Author Information

  1. Departments of Statistics and Human Genetics, University of Chicago, Chicago, IL, USA

Publication History

  1. Published Online: 9 MAY 2008
  2. Published Print: 24 AUG 2007

ISBN Information

Print ISBN: 9780470058305

Online ISBN: 9780470061619



  • likelihood-based inference;
  • scaled mutation parameter;
  • randomly sampled chromosomes;
  • β-globin data;
  • high-dimensional integrals;
  • Markov chain Monte Carlo;
  • conditional coalescent proposal;
  • composite likelihood;
  • population-scaled recombination rate;
  • PAC – product of approximate conditionals likelihood


This chapter contains sections titled:

  • Introduction

  • The Likelihood and the Coalescent

  • Importance Sampling

  • Markov Chain Monte Carlo

  • Other Approaches

  • Software and Web Resources

  • Acknowledgments

  • References