---
_id: '9758'
abstract:
- lang: eng
  text: '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.'
article_processing_charge: No
author:
- first_name: Simon
  full_name: Aeschbacher, Simon
  id: 2D35326E-F248-11E8-B48F-1D18A9856A87
  last_name: Aeschbacher
- first_name: Andreas
  full_name: Futschik, Andreas
  last_name: Futschik
- first_name: Mark
  full_name: Beaumont, Mark
  last_name: Beaumont
citation:
  ama: 'Aeschbacher S, Futschik A, Beaumont M. Data from: Approximate Bayesian computation
    for modular inference problems with many parameters: the example of migration
    rates. 2012. doi:<a href="https://doi.org/10.5061/dryad.274b1">10.5061/dryad.274b1</a>'
  apa: 'Aeschbacher, S., Futschik, A., &#38; Beaumont, M. (2012). Data from: Approximate
    Bayesian computation for modular inference problems with many parameters: the
    example of migration rates. Dryad. <a href="https://doi.org/10.5061/dryad.274b1">https://doi.org/10.5061/dryad.274b1</a>'
  chicago: 'Aeschbacher, Simon, Andreas Futschik, and Mark Beaumont. “Data from: Approximate
    Bayesian Computation for Modular Inference Problems with Many Parameters: The
    Example of Migration Rates.” Dryad, 2012. <a href="https://doi.org/10.5061/dryad.274b1">https://doi.org/10.5061/dryad.274b1</a>.'
  ieee: 'S. Aeschbacher, A. Futschik, and M. Beaumont, “Data from: Approximate Bayesian
    computation for modular inference problems with many parameters: the example of
    migration rates.” Dryad, 2012.'
  ista: 'Aeschbacher S, Futschik A, Beaumont M. 2012. Data from: Approximate Bayesian
    computation for modular inference problems with many parameters: the example of
    migration rates, Dryad, <a href="https://doi.org/10.5061/dryad.274b1">10.5061/dryad.274b1</a>.'
  mla: 'Aeschbacher, Simon, et al. <i>Data from: Approximate Bayesian Computation
    for Modular Inference Problems with Many Parameters: The Example of Migration
    Rates</i>. Dryad, 2012, doi:<a href="https://doi.org/10.5061/dryad.274b1">10.5061/dryad.274b1</a>.'
  short: S. Aeschbacher, A. Futschik, M. Beaumont, (2012).
date_created: 2021-07-30T12:36:39Z
date_published: 2012-11-14T00:00:00Z
date_updated: 2025-09-29T13:25:35Z
day: '14'
department:
- _id: NiBa
doi: 10.5061/dryad.274b1
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5061/dryad.274b1
month: '11'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
  record:
  - id: '2944'
    relation: used_in_publication
    status: public
status: public
title: 'Data from: Approximate Bayesian computation for modular inference problems
  with many parameters: the example of migration rates'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2012'
...