To cite bayesImageS in publications use:

Moores MT, Feng D, Mengersen K (2021). bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model. doi: 10.4225/09/584e37ae2a6b9, https://CRAN.R-project.org/package=bayesImageS.

Moores MT, Pettitt AN, Mengersen K (2020). “Bayesian Computation with Intractable Likelihoods.” In Mengersen KL, Pudlo P, Robert CP (eds.), Case Studies in Applied Bayesian Data Science, 137–151. Springer. doi: 10.1007/978-3-030-42553-1_6.

The parametric functional approximate Bayesian (PFAB) algorithm was introduced in:

Moores MT, Nicholls GK, Pettitt AN, Mengersen K (2020). “Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model.” Bayesian Analysis, 15(1), 1–27. doi: 10.1214/18-BA1130.

The piecewise linear surrogate model for SMC-ABC was introduced in:

Moores MT, Drovandi CC, Mengersen K, Robert CP (2015). “Pre-processing for approximate Bayesian computation in image analysis.” Statistics and Computing, 25(1), 23–33. doi: 10.1007/s11222-014-9525-6.

The external field prior was introduced in:

Moores MT, Hargrave CE, Deegan T, Poulsen M, Harden F, Mengersen K (2015). “An external field prior for the hidden Potts model with application to cone-beam computed tomography.” Computational Statistics and Data Analysis, 86, 27–41. doi: 10.1016/j.csda.2014.12.001.

Corresponding BibTeX entries:

  @Manual{,
    title = {{bayesImageS}: {B}ayesian Methods for Image Segmentation
      using a {P}otts Model},
    author = {Matthew T. Moores and Dai Feng and Kerrie Mengersen},
    year = {2021},
    doi = {10.4225/09/584e37ae2a6b9},
    url = {https://CRAN.R-project.org/package=bayesImageS},
  }

  @InCollection{,
    title = {Bayesian Computation with Intractable Likelihoods},
    author = {Matthew T. Moores and Anthony N. Pettitt and Kerrie
      Mengersen},
    booktitle = {Case Studies in Applied Bayesian Data Science},
    year = {2020},
    chapter = {6},
    doi = {10.1007/978-3-030-42553-1_6},
    editor = {Kerrie L. Mengersen and Pierre Pudlo and Christian P.
      Robert},
    pages = {137--151},
    publisher = {Springer},
  }

  @Article{,
    title = {Scalable {B}ayesian Inference for the Inverse Temperature
      of a Hidden {P}otts Model},
    author = {Matthew T. Moores and Geoff K. Nicholls and Anthony N.
      Pettitt and Kerrie Mengersen},
    journal = {Bayesian Analysis},
    year = {2020},
    volume = {15},
    number = {1},
    pages = {1--27},
    doi = {10.1214/18-BA1130},
  }

  @Article{,
    title = {Pre-processing for approximate {B}ayesian computation in
      image analysis},
    author = {Matthew T. Moores and Christopher C. Drovandi and Kerrie
      Mengersen and Christian P. Robert},
    journal = {Statistics and Computing},
    year = {2015},
    volume = {25},
    number = {1},
    pages = {23--33},
    doi = {10.1007/s11222-014-9525-6},
  }

  @Article{,
    title = {An external field prior for the hidden {P}otts model with
      application to cone-beam computed tomography},
    author = {Matthew T. Moores and Catriona E. Hargrave and Timothy
      Deegan and Michael Poulsen and Fiona Harden and Kerrie
      Mengersen},
    journal = {Computational Statistics and Data Analysis},
    year = {2015},
    volume = {86},
    pages = {27--41},
    doi = {10.1016/j.csda.2014.12.001},
  }