Strict key avalanche criterion. - Ed Dawson; Helen Gustafson; Anthony N. Pettitt (Australas. J Comb., 1992)

Linear dependencies in product ciphers. - Helen Gustafson; Anthony N. Pettitt; Ed Dawson; L. J. O'Connor (Australas. J Comb., 1994)

Methods for testing subblock patterns. - Helen Gustafson; Ed Dawson; Jovan Dj. Golic; Anthony N. Pettitt (Stat. Comput., 1999)

Spatial modelling for binary data using␣a␣hidden conditional autoregressive Gaussian process: a multivariate extension of the probit model. - I. S. Weir; Anthony N. Pettitt (Stat. Comput., 1999)

A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data. - Anthony N. Pettitt; I. S. Weir; A. G. Hart (Stat. Comput., 2002)

Stability of Approximations of Average Run Length of Risk-Adjusted CUSUM Schemes Using the Markov Approach: Comparing Two Methods of Calculating Transition Probabilities. - Ronald A. Webster; Anthony N. Pettitt (Commun. Stat. Simul. Comput., 2007)

A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean. - Clare A. McGrory; Anthony N. Pettitt; Malcolm J. Faddy (Comput. Stat. Data Anal., 2009)

Variational Bayes for estimating the parameters of a hidden Potts model. - Clare A. McGrory; D. M. Titterington; R. Reeves; Anthony N. Pettitt (Stat. Comput., 2009)

Likelihood-free Bayesian estimation of multivariate quantile distributions. - Christopher C. Drovandi; Anthony N. Pettitt (Comput. Stat. Data Anal., 2011)

Classification using distance nearest neighbours. - Nial Friel; Anthony N. Pettitt (Stat. Comput., 2011)

A new variational Bayesian algorithm with application to human mobility pattern modeling. - Burton Wu; Clare A. McGrory; Anthony N. Pettitt (Stat. Comput., 2012)

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. - Christopher C. Drovandi; James M. McGree; Anthony N. Pettitt (Comput. Stat. Data Anal., 2013)

Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. - Christopher C. Drovandi; Anthony N. Pettitt; Robert D. Henderson; Pamela A. McCombe (Comput. Stat. Data Anal., 2014)

Towards Bayesian experimental design for nonlinear models that require a large number of sampling times. - Elizabeth G. Ryan; Christopher C. Drovandi; M. Helen Thompson; Anthony N. Pettitt (Comput. Stat. Data Anal., 2014)

Simulation-based fully Bayesian experimental design for mixed effects models. - Elizabeth G. Ryan; Christopher C. Drovandi; Anthony N. Pettitt (Comput. Stat. Data Anal., 2015)

Fully Bayesian Experimental Design for Pharmacokinetic Studies. - Elizabeth G. Ryan; Christopher C. Drovandi; Anthony N. Pettitt (Entropy, 2015)

Predicting Reduced Driver Alertness on Monotonous Highways. - Grégoire S. Larue; Andry Rakotonirainy; Anthony N. Pettitt (IEEE Pervasive Comput., 2015)

Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation. - Brenda N. Vo; Christopher C. Drovandi; Anthony N. Pettitt; Graeme J. Pettet (PLoS Comput. Biol., 2015)

Transdimensional sequential Monte Carlo using variational Bayes - SMCVB. - Clare A. McGrory; Anthony N. Pettitt; D. M. Titterington; Clair L. Alston; Matt Kelly (Comput. Stat. Data Anal., 2016)

A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. - James M. McGree; Christopher C. Drovandi; Gentry White; Anthony N. Pettitt (Stat. Comput., 2016)

Investigation of the widely applicable Bayesian information criterion. - Nial Friel; James P. McKeone; Chris J. Oates; Anthony N. Pettitt (Stat. Comput., 2017)

ABC model selection for spatial extremes models applied to South Australian maximum temperature data. - Xing Ju Lee; Markus Hainy; James P. McKeone; Christopher C. Drovandi; Anthony N. Pettitt (Comput. Stat. Data Anal., 2018)