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}, }