To cite bayesImageS in publications use:
Moores MT, Feng D, Mengersen K (2025). bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model. doi:10.32614/CRAN.package.bayesImageS, 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 = {2025},
doi = {10.32614/CRAN.package.bayesImageS},
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},
}