Grant Hamilton

Summary

Affiliation: Queensland University of Technology
Location: Brisbane, Australia
Summary:
Computational and Statistical Ecology
Ecological Modelling
Invasion Ecology

Publications

  1. ncbi Comment on "Genetic structure of human populations"
    Laurent Excoffier
    Computational and Molecular Population, Genetics LabZoological Institute, University of Bern, Batzerstrasse 63012, Bern, Switzerland
    Science 300:1877; author reply 1877. 2003
  2. ncbi Bayesian estimation of recent migration rates after a spatial expansion
    Grant Hamilton
    Computational and Molecular Population Genetics Lab, Zoological Institute, University of Bern, Switzerland
    Genetics 170:409-17. 2005
  3. ncbi Molecular analysis reveals tighter social regulation of immigration in patrilocal populations than in matrilocal populations
    Grant Hamilton
    Computational and Molecular Population Genetics Laboratory, Zoological Institute, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland
    Proc Natl Acad Sci U S A 102:7476-80. 2005
  4. ncbi An Integrated Bayesian Network approach to Lyngbya majuscula bloom initiation
    Sandra Johnson
    Queensland University of Technology, Brisbane, Australia
    Mar Environ Res 69:27-37. 2010
  5. ncbi Bayesian model averaging for harmful algal bloom prediction
    Grant Hamilton
    School of Natural Resource Sciences, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia
    Ecol Appl 19:1805-14. 2009
  6. ncbi Improving detection probabilities for pests in stored grain
    David Elmouttie
    Discipline of Biogeosciences, Queensland University of Technology, Brisbane, Queensland, Australia
    Pest Manag Sci 66:1280-6. 2010

Detail Information

Publications6

  1. ncbi Comment on "Genetic structure of human populations"
    Laurent Excoffier
    Computational and Molecular Population, Genetics LabZoological Institute, University of Bern, Batzerstrasse 63012, Bern, Switzerland
    Science 300:1877; author reply 1877. 2003
  2. ncbi Bayesian estimation of recent migration rates after a spatial expansion
    Grant Hamilton
    Computational and Molecular Population Genetics Lab, Zoological Institute, University of Bern, Switzerland
    Genetics 170:409-17. 2005
    ..Estimates based on both markers suggest that expansion occurred <10,000 years ago, after the most recent glaciation, and that migration rates are strongly male biased...
  3. ncbi Molecular analysis reveals tighter social regulation of immigration in patrilocal populations than in matrilocal populations
    Grant Hamilton
    Computational and Molecular Population Genetics Laboratory, Zoological Institute, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland
    Proc Natl Acad Sci U S A 102:7476-80. 2005
    ..This finding is compatible with the hypothesis that men are strictly controlling male immigration and promoting female immigration in patrilocal populations and that immigration is much less regulated in matrilocal populations...
  4. ncbi An Integrated Bayesian Network approach to Lyngbya majuscula bloom initiation
    Sandra Johnson
    Queensland University of Technology, Brisbane, Australia
    Mar Environ Res 69:27-37. 2010
    ..The merger of multiple models which explore different aspects of the problem through an IBN approach can apply to many multi-faceted environmental problems...
  5. ncbi Bayesian model averaging for harmful algal bloom prediction
    Grant Hamilton
    School of Natural Resource Sciences, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia
    Ecol Appl 19:1805-14. 2009
    ..This study demonstrates the power of BMA as an important management tool that is capable of high predictive performance while fully accounting for both parameter and model uncertainty...
  6. ncbi Improving detection probabilities for pests in stored grain
    David Elmouttie
    Discipline of Biogeosciences, Queensland University of Technology, Brisbane, Queensland, Australia
    Pest Manag Sci 66:1280-6. 2010
    ..In this paper, a sampling methodology is demonstrated that accounts for the heterogeneous distribution of insects in bulk grain...