Gaussian process-based Bayesian nonparametric inference of population size trajectories from gene genealogies.

@article{Palacios2013GaussianPB,
  title={Gaussian process-based Bayesian nonparametric inference of population size trajectories from gene genealogies.},
  author={Julia A. Palacios and Vladimir N. Minin},
  journal={Biometrics},
  year={2013},
  volume={69 1},
  pages={8-18}
}
Changes in population size influence genetic diversity of the population and, as a result, leave a signature of these changes in individual genomes in the population. We are interested in the inverse problem of reconstructing past population dynamics from genomic data. We start with a standard framework based on the coalescent, a stochastic process that generates genealogies connecting randomly sampled individuals from the population of interest. These genealogies serve as a glue between the… CONTINUE READING

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