Anthony N. Pettitt

22 papers Journal 22
YearRankTypeTitle / Venue / Authors
2018 J jnl
ABC model selection for spatial extremes models applied to South Australian maximum temperature data.
Comput. Stat. Data Anal.
Xing Ju Lee, Markus Hainy, James P. McKeone, Christopher C. Drovandi, Anthony N. Pettitt
2017 J jnl
Investigation of the widely applicable Bayesian information criterion.
Stat. Comput.
Nial Friel, James P. McKeone, Chris J. Oates, Anthony N. Pettitt
2016 J jnl
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.
Stat. Comput.
James M. McGree, Christopher C. Drovandi, Gentry White, Anthony N. Pettitt
2016 J jnl
Transdimensional sequential Monte Carlo using variational Bayes - SMCVB.
Comput. Stat. Data Anal.
Clare A. McGrory, Anthony N. Pettitt, D. M. Titterington, Clair L. Alston, Matt Kelly
2015 J jnl
Fully Bayesian Experimental Design for Pharmacokinetic Studies.
Entropy
Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
2015 J jnl
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation.
PLoS Comput. Biol.
Brenda N. Vo, Christopher C. Drovandi, Anthony N. Pettitt, Graeme J. Pettet
2015 J jnl
Predicting Reduced Driver Alertness on Monotonous Highways.
IEEE Pervasive Comput.
Grégoire S. Larue, Andry Rakotonirainy, Anthony N. Pettitt
2015 J jnl
Simulation-based fully Bayesian experimental design for mixed effects models.
Comput. Stat. Data Anal.
Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
2014 J jnl
Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation.
Comput. Stat. Data Anal.
Christopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson, Pamela A. McCombe
2014 J jnl
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times.
Comput. Stat. Data Anal.
Elizabeth G. Ryan, Christopher C. Drovandi, M. Helen Thompson, Anthony N. Pettitt
2013 J jnl
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data.
Comput. Stat. Data Anal.
Christopher C. Drovandi, James M. McGree, Anthony N. Pettitt
2012 J jnl
A new variational Bayesian algorithm with application to human mobility pattern modeling.
Stat. Comput.
Burton Wu, Clare A. McGrory, Anthony N. Pettitt
2011 J jnl
Classification using distance nearest neighbours.
Stat. Comput.
Nial Friel, Anthony N. Pettitt
2011 J jnl
Likelihood-free Bayesian estimation of multivariate quantile distributions.
Comput. Stat. Data Anal.
Christopher C. Drovandi, Anthony N. Pettitt
2009 J jnl
A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean.
Comput. Stat. Data Anal.
Clare A. McGrory, Anthony N. Pettitt, Malcolm J. Faddy
2009 J jnl
Variational Bayes for estimating the parameters of a hidden Potts model.
Stat. Comput.
Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt
2007 J jnl
Stability of Approximations of Average Run Length of Risk-Adjusted CUSUM Schemes Using the Markov Approach: Comparing Two Methods of Calculating Transition Probabilities.
Commun. Stat. Simul. Comput.
Ronald A. Webster, Anthony N. Pettitt
2002 J jnl
A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data.
Stat. Comput.
Anthony N. Pettitt, I. S. Weir, A. G. Hart
1999 J jnl
Methods for testing subblock patterns.
Stat. Comput.
Helen Gustafson, Ed Dawson, Jovan Dj. Golic, Anthony N. Pettitt
1999 J jnl
Spatial modelling for binary data using␣a␣hidden conditional autoregressive Gaussian process: a multivariate extension of the probit model.
Stat. Comput.
I. S. Weir, Anthony N. Pettitt
1994 J jnl
Linear dependencies in product ciphers.
Australas. J Comb.
Helen Gustafson, Anthony N. Pettitt, Ed Dawson, L. J. O'Connor
1992 J jnl
Strict key avalanche criterion.
Australas. J Comb.
Ed Dawson, Helen Gustafson, Anthony N. Pettitt