Simulation of ancestral selection graphs for Monte Carlo integration

Authors

  • Nicoleen Cloete
  • Geoff K. Nicholls
  • David J. Scott

DOI:

https://doi.org/10.21914/anziamj.v45i0.896

Abstract

An ancestral selection graph is a realization of an genealogy-process model which incorporates natural selection. The space of ancestral graphs is a countable union of spaces of unequal dimensions. We give a Markov Chain Monte Carlo algorithm simulating ancestral selection graphs. Output can be used to estimate expectations for functions defined on the space of ancestral graphs.

Published

2004-06-08

Issue

Section

Proceedings Computational Techniques and Applications Conference