Anthony Pettitt

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Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Robert David HendersonUniversity of QueenslandVerified email at health.qld.gov.au
Pamela McCombeThe University of QueenslandVerified email at uq.edu.au
James McGreeQueensland University of TechnologyVerified email at qut.edu.au
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Gregoire Sebastien LaruePost-Doctoral Research Fellow at Queensland University of TechnologyVerified email at qut.edu.au
Andry RakotonirainyProfessorVerified email at qut.edu.au
Ewan CameronCurtin University & Telethon Kids InstituteVerified email at telethonkids.org.au
Elizabeth RyanMonash UniversityVerified email at monash.edu
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
NICHOLAS GRAVESQueensland University of TechnologyVerified email at QUT.EDU.AU
Farhan FerozUniversity of CambridgeVerified email at mrao.cam.ac.uk
Iain WeirUWE BristolVerified email at uwe.ac.uk
Emma McBrydeAustralian Institute of Tropical Health and Medicine, James Cook UniversityVerified email at jcu.edu.au
David LookeAssociate Professor, University of Queensland. Infectious Diseases Physician and Clinical microbiologist Princess Alexandra Hospital WoolloongabbaVerified email at health.qld.gov.au
Dr Fusun BaumannRoyal Brisbane & Women's HospitalVerified email at uqconnect.edu.au
Michael HobsonProfessor of Astrophysics, University of CambridgeVerified email at mrao.cam.ac.uk
Archie ClementsUniversity of PlymouthVerified email at plymouth.ac.uk
McElwainQueensland University of TechnologyVerified email at qut.edu.au
Noor Azina IsmailProfessor of Applied Statistics, University of MalayaVerified email at um.edu.my

Anthony Pettitt

Emeritus Professor of Statistics, Queensland University of Technology

Verified email at qut.edu.au

statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A non‐parametric approach to the change‐point problem AN Pettitt Journal of the Royal Statistical Society: Series C (Applied Statistics) 28 …, 1979	4684	1979
Importance nested sampling and the MultiNest algorithm F Feroz, MP Hobson, E Cameron, AN Pettitt arXiv preprint arXiv:1306.2144, 2013	646	2013
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	495	2006
Marginal likelihood estimation via power posteriors N Friel, AN Pettitt Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008	428	2008
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	332	2016
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	281	2008
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation CC Drovandi, AN Pettitt Biometrics 67 (1), 225-233, 2011	272	2011
A simple cumulative sum type statistic for the change-point problem with zero-one observations AN Pettitt Biometrika 67 (1), 79-84, 1980	271	1980
High incentive effects on vigilance performance during 72 hours of total sleep deprivation JA Horne, AN Pettitt Acta psychologica 58 (2), 123-139, 1985	248	1985
Driving performance impairments due to hypovigilance on monotonous roads GS Larue, A Rakotonirainy, AN Pettitt Accident Analysis & Prevention 43 (6), 2037-2046, 2011	222	2011
The Kolmogorov-Smirnov goodness-of-fit statistic with discrete and grouped data AN Pettitt, MA Stephens Technometrics 19 (2), 205-210, 1977	218	1977
Proportional odds models for survival data and estimates using ranks AN Pettitt Journal of the Royal Statistical Society: Series C (Applied Statistics) 33 …, 1984	198	1984
Inference for the linear model using a likelihood based on ranks AN Pettitt Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1982	173	1982
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	155	2009
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	154	2007
A Bayesian information criterion for singular models M Drton, M Plummer Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017	153	2017
Modified Cramér-von Mises statistics for censored data AN Pettitt, MA Stephens Biometrika 63 (2), 291-298, 1976	143	1976
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	140	2012
Approximate Bayesian computation using indirect inference CC Drovandi, AN Pettitt, MJ Faddy Journal of the Royal Statistical Society Series C: Applied Statistics 60 (3 …, 2011	128	2011
Sampling designs for estimating spatial variance components AN Pettitt, AB McBratney Journal of the Royal Statistical Society Series C: Applied Statistics 42 (1 …, 1993	127	1993

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