To cite bayesImageS in publications use:

  Moores MT, Feng D & Mengersen K (2021). bayesImageS: Bayesian Methods
  for Image Segmentation using a Potts Model. R package version 0.6-1
  URL: https://CRAN.R-project.org/package=bayesImageS

A BibTeX entry for LaTeX users is

  @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},
  }

  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, ch. 6, pp. 137-151.
  DOI 10.1007/978-3-030-42553-1_6

A BibTeX entry for LaTeX users is

  @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},
  }

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

A BibTeX entry for LaTeX users is

  @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},
  }

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 & Computing 25(1): 23-33. DOI
  10.1007/s11222-014-9525-6

A BibTeX entry for LaTeX users is

  @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},
  }

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. Comp. Stat. Data Anal.
  86: 27-41. DOI 10.1016/j.csda.2014.12.001

A BibTeX entry for LaTeX users is

  @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},
  }