Anthony N. Pettitt - researchr alias

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Viewing Publication 1 - 18 from 18

2018

ABC model selection for spatial extremes models applied to South Australian maximum temperature dataXing Ju Lee, Markus Hainy, James P. McKeone, Christopher C. Drovandi, Anthony N. Pettitt. csda, 128:128-144, 2018. [doi]

2017

Investigation of the widely applicable Bayesian information criterionNial Friel, J. P. McKeone, Chris J. Oates, Anthony N. Pettitt. sac, 27(3):833-844, 2017. [doi]

2016

A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential designJames M. McGree, Christopher C. Drovandi, Gentry White, Anthony N. Pettitt. sac, 26(5):1121-1136, 2016. [doi]

Transdimensional sequential Monte Carlo using variational Bayes - SMCVBClare A. McGrory, Anthony N. Pettitt, D. M. Titterington, Clair L. Alston, Matt Kelly. csda, 93:246-254, 2016. [doi]

2015

2014

Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimationChristopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson, Pamela A. McCombe. csda, 72:128-146, 2014. [doi]

Towards Bayesian experimental design for nonlinear models that require a large number of sampling timesElizabeth G. Ryan, Christopher C. Drovandi, M. Helen Thompson, Anthony N. Pettitt. csda, 70:45-60, 2014. [doi]

2013

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete dataChristopher C. Drovandi, James M. McGree, Anthony N. Pettitt. csda, 57(1):320-335, 2013. [doi]

2012

A new variational Bayesian algorithm with application to human mobility pattern modelingBurton Wu, Clare A. McGrory, Anthony N. Pettitt. sac, 22(1):185-203, 2012. [doi]

2011

Likelihood-free Bayesian estimation of multivariate quantile distributionsChristopher C. Drovandi, Anthony N. Pettitt. csda, 55(9):2541-2556, 2011. [doi]

2009

A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent meanClare A. McGrory, Anthony N. Pettitt, Malcolm J. Faddy. csda, 53(12):4311-4321, 2009. [doi]

2007

Stability of Approximations of Average Run Length of Risk-Adjusted CUSUM Schemes Using the Markov Approach: Comparing Two Methods of Calculating Transition ProbabilitiesRonald A. Webster, Anthony N. Pettitt. cssc, 36(3):471-482, 2007. [doi]

1999

Spatial modelling for binary data using␣a␣hidden conditional autoregressive Gaussian process: a multivariate extension of the probit modelI. S. Weir, Anthony N. Pettitt. sac, 9(1):77-86, 1999. [doi]

1994

Linear dependencies in product ciphersHelen Gustafson, Anthony N. Pettitt, Ed Dawson, L. J. O'Connor. ajc, 10:115-130, 1994. [doi]

1992

Strict key avalanche criterionEd Dawson, Helen Gustafson, Anthony N. Pettitt. ajc, 6:147-154, 1992. [doi]

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