Literature DB >> 9000489

Estimation in an island model using simulation.

H B Nath1, R C Griffiths.   

Abstract

Estimation for an island model where mutation maintains a k-allele neutral polymorphism at a single locus on each island is considered. The likelihood of an observed sample type configuration is obtained by applying a computational algorithm analogous to Griffiths and Tavaré (Theor. Popul. Biol. 46 (1994), 131-159). This allows the computation of sampling distributions in an island model and investigation of their properties. Given a sample type configuration, the maximum likelihood estimate of the migration parameter is obtained by simulating independently the likelihood at a grid of points and, also, using a surface simulation method. The latter method generates the whole likelihood trajectory in a single application of the simulation program. An estimate of variance of the estimate of the migration parameter is obtained using the likelihood trajectory. A comparison of the maximum likelihood estimates of the gene flow between subpopulations is made with those obtained by using Wright's FST statistic.

Mesh:

Year:  1996        PMID: 9000489     DOI: 10.1006/tpbi.1996.0030

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  Two-generation analysis of pollen flow across a landscape. II. Relation between phi(ft), pollen dispersal and interfemale distance.

Authors:  F Austerlitz; P E Smouse
Journal:  Genetics       Date:  2001-02       Impact factor: 4.562

2.  Distinguishing migration from isolation: a Markov chain Monte Carlo approach.

Authors:  R Nielsen; J Wakeley
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

3.  Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach.

Authors:  P Beerli; J Felsenstein
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

4.  The structured ancestral selection graph and the many-demes limit.

Authors:  Paul F Slade; John Wakeley
Journal:  Genetics       Date:  2004-11-01       Impact factor: 4.562

  4 in total

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