---
res:
  bibo_abstract:
  - 'We propose a two-step procedure for estimating multiple migration rates in an
    approximate Bayesian computation (ABC) framework, accounting for global nuisance
    parameters. The approach is not limited to migration, but generally of interest
    for inference problems with multiple parameters and a modular structure (e.g.
    independent sets of demes or loci). We condition on a known, but complex demographic
    model of a spatially subdivided population, motivated by the reintroduction of
    Alpine ibex (Capra ibex) into Switzerland. In the first step, the global parameters
    ancestral mutation rate and male mating skew have been estimated for the whole
    population in Aeschbacher et al. (Genetics 2012; 192: 1027). In the second step,
    we estimate in this study the migration rates independently for clusters of demes
    putatively connected by migration. For large clusters (many migration rates),
    ABC faces the problem of too many summary statistics. We therefore assess by simulation
    if estimation per pair of demes is a valid alternative. We find that the trade-off
    between reduced dimensionality for the pairwise estimation on the one hand and
    lower accuracy due to the assumption of pairwise independence on the other depends
    on the number of migration rates to be inferred: the accuracy of the pairwise
    approach increases with the number of parameters, relative to the joint estimation
    approach. To distinguish between low and zero migration, we perform ABC-type model
    comparison between a model with migration and one without. Applying the approach
    to microsatellite data from Alpine ibex, we find no evidence for substantial gene
    flow via migration, except for one pair of demes in one direction.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Simon
      foaf_name: Aeschbacher, Simon
      foaf_surname: Aeschbacher
      foaf_workInfoHomepage: http://www.librecat.org/personId=2D35326E-F248-11E8-B48F-1D18A9856A87
  - foaf_Person:
      foaf_givenName: Andreas
      foaf_name: Futschik, Andreas
      foaf_surname: Futschik
  - foaf_Person:
      foaf_givenName: Mark
      foaf_name: Beaumont, Mark
      foaf_surname: Beaumont
  bibo_doi: 10.1111/mec.12165
  bibo_issue: '4'
  bibo_volume: 22
  dct_date: 2013^xs_gYear
  dct_identifier:
  - UT:000314220900008
  dct_language: eng
  dct_publisher: Wiley-Blackwell@
  dct_title: 'Approximate Bayesian computation for modular inference problems with
    many parameters: the example of migration rates. @'
...