Anthony Pettitt
Anthony Pettitt
Professor of Statistics, Queensland University of Technology
Verified email at
Cited by
Cited by
A non‐parametric approach to the change‐point problem
AN Pettitt
Journal of the Royal Statistical Society: Series C (Applied Statistics) 28 …, 1979
An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
J Møller, AN Pettitt, R Reeves, KK Berthelsen
Biometrika 93 (2), 451-458, 2006
Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008
Importance nested sampling and the MultiNest algorithm
F Feroz, MP Hobson, E Cameron, AN Pettitt
arXiv preprint arXiv:1306.2144, 2013
A simple cumulative sum type statistic for the change-point problem with zero-one observations
AN Pettitt
Biometrika 67 (1), 79-84, 1980
Overcrowding and understaffing in modern health-care systems: key determinants in meticillin-resistant Staphylococcus aureus transmission
A Clements, K Halton, N Graves, A Pettitt, A Morton, D Looke, M Whitby
The Lancet infectious diseases 8 (7), 427-434, 2008
High incentive effects on vigilance performance during 72 hours of total sleep deprivation
JA Horne, AN Pettitt
Acta psychologica 58 (2), 123-139, 1985
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation
CC Drovandi, AN Pettitt
Biometrics 67 (1), 225-233, 2011
Proportional odds models for survival data and estimates using ranks
AN Pettitt
Journal of the Royal Statistical Society: Series C (Applied Statistics) 33 …, 1984
The Kolmogorov-Smirnov goodness-of-fit statistic with discrete and grouped data
AN Pettitt, MA Stephens
Technometrics 19 (2), 205-210, 1977
Inference for the linear model using a likelihood based on ranks
AN Pettitt
Journal of the Royal Statistical Society: Series B (Methodological) 44 (2 …, 1982
A stochastic mathematical model of methicillin resistant Staphylococcus aureus transmission in an intensive care unit: Predicting the impact of interventions
ES McBryde, AN Pettitt, DLS McElwain
Journal of theoretical biology 245 (3), 470-481, 2007
Driving performance impairments due to hypovigilance on monotonous roads
GS Larue, A Rakotonirainy, AN Pettitt
Accident Analysis & Prevention 43 (6), 2037-2046, 2011
Modified Cramer-von Mises statistics for censored data
AN Pettitt, MA Stephens
Biometrika 63 (2), 291-298, 1976
Sampling designs for estimating spatial variance components
AN Pettitt, AB McBratney
Journal of the Royal Statistical Society: Series C (Applied Statistics) 42 …, 1993
Modeling length of stay in hospital and other right skewed data: comparison of phase‐type, gamma and log‐normal distributions
M Faddy, N Graves, A Pettitt
Value in Health 12 (2), 309-314, 2009
A review of modern computational algorithms for Bayesian optimal design
EG Ryan, CC Drovandi, JM McGree, AN Pettitt
International Statistical Review 84 (1), 128-154, 2016
A conditional autoregressive Gaussian process for irregularly spaced multivariate data with application to modelling large sets of binary data
AN Pettitt, IS Weir, AG Hart
Statistics and Computing 12 (4), 353-367, 2002
Approximate Bayesian Computation for astronomical model analysis: a case study in galaxy demographics and morphological transformation at high redshift
E Cameron, AN Pettitt
Monthly Notices of the Royal Astronomical Society 425 (1), 44-65, 2012
Case‐weighted measures of influence for proportional hazards regression
AN Pettitt, IB Daud
Journal of the Royal Statistical Society: Series C (Applied Statistics) 38 …, 1989
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