Browse By Person: Pettitt, Anthony
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Number of items: 51.
Book Chapter
McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012) Implementing adaptive dose finding studies using sequential Monte Carlo. In Alston, Clair, Mengersen, Kerrie, & Pettitt, Anthony N. (Eds.) Case Studies in Bayesian Statistical Modelling and Analysis. Wiley, United Kingdom, pp. 361-373.
Drovandi, Christopher C. & Pettitt, Anthony N. (2012) Likelihood‐free inference for transmission rates of nosocomial pathogens. In Case Studies in Bayesian Statistical Modelling and Analysis. Wiley, United Kingdom, pp. 374-387.
Journal Article
Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2013) Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Computational Statistics and Data Analysis, 57(1).
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36McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012) A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models. .
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33Baumann, F., Henderson, R. D., Gareth Ridall, P., Pettitt, Anthony N., & McCombe, P. A. (2012) Quantitative studies of lower motor neuron degeneration in amyotrophic lateral sclerosis : Evidence for exponential decay of motor unit numbers and greatest rate of loss at the site of onset. Clinical Neurophysiology, 123(10), pp. 2092-2098.
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2 2Baumann, F., Henderson, R. D., Ridall, Gareth, Pettitt, A. N., & McCombe, P. A. (2012) Use of Bayesian MUNE to show differing rate of loss of motor units in subgroups of ALS. Clinical Neurophysiology. (In Press)
McGree, James Matthew, Drovandi, Christopher C., Thompson, Helen, Eccleston, John, Duffull, Stephen, Mengersen, Kerrie, et al. (2012) Adaptive Bayesian compound designs for dose finding studies. Journal of Statistical Planning and Inference, 142(6), pp. 1480-1492.
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82 2 2Drovandi, Christopher C. & Pettitt, Anthony N. (2012) Bayesian experimental design for models with intractable likelihoods. Submitted.
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77Ngo, S.T., Baumann, F., Ridall, Peter, Pettitt, Anthony N., Henderson, R. D., Bellingham, M. C., et al. (2012) The relationship between Bayesian motor unit number estimation and histological measurements of motor neurons in wild-type and SOD1 G93A mice. Clinical Neurophysiology, 123(10), pp. 2080-2091.
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4 2Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2012) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design. Journal of Computational and Graphical Statistics. (In Press)
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76 1McGree, J.M., Drovandi, C.C., & Pettitt, A.N. (2012) A sequential Monte Carlo approach to design for population pharmacokinetics studies. Journal of Pharmacokinetics and Pharmacodynamics, 39(5), pp. 519-526.
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72 1 1McGrory, Clare A., Pettitt, Anthony N., Reeves, Robert, Griffin, Mark, & Dwyer, Mark (2011) Variational Bayes and the reduced dependence approximation for the autologistic model on an irregular grid with applications. Journal of Computational and Graphical Statistics.
Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N. (2011) Driving performance impairments due to hypovigilance on monotonous roads. Accident Analysis and Prevention, 43(6), pp. 2037-2046.
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149 2Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation. Biometrics, 67(1), pp. 225-233.
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13 11Drovandi, Christopher C., Pettitt, Anthony N., & Faddy, Malcolm J. (2011) Approximate Bayesian computation using indirect inference. Journal of the Royal Statistical Society, Series C (Applied Statistics), 60(3), pp. 317-337.
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54 5 3Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Using approximate Bayesian computation to estimate transmission rates of nosocomial pathogens. Statistical Communications in Infectious Diseases, 3(1).
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31Larue, Gregoire, Rakotonirainy, Andry, & Pettitt, Anthony N. (2010) Forecasting negative effects of monotony and sensation seeking on performance during a vigilance task. Journal of the Australasian College of Road Safety, 21(4), pp. 42-48.
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76Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N. (2010) Real-time performance modelling of a sustained attention to response task. Ergonomics, 53(10), pp. 1205-1216.
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174 3 2Faddy, Malcolm J., Graves, Nicholas, & Pettitt, Anthony N. (2009) Modeling length of stay in hospital and other right skewed data : comparison of phase-type, gamma and log-normal distributions. Value In Health, 12(2), pp. 309-314.
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12 7McGrory, Clare A., Pettitt, Anthony N., & Faddy, Malcolm (2009) A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean. Computational Statistics and Data Analysis, 53(12), pp. 4311-4321.
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108 2 1Friel, Nial & Pettitt, Anthony N. (2008) Marginal likelihood estimation via power posteriors. Journal of the Royal Statistical Society Series B (Statistical Methodology), 70(3), pp. 589-607.
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32 30Clements, Archie, Halton, Kate A., Graves, Nicholas, Pettitt, Anthony N., Morris, Anthony Kevin, Looke, David, et al. (2008) Overcrowding and understaffing in modern health-care systems : key determinants in meticillin-resistant Staphylococcus aureus transmission. Lancet Infectious Diseases, 8(7), pp. 427-434.
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51 47Simpson, Daniel P., Turner, Ian W., & Pettitt, Anthony N. (2008) Fast sampling from a Gaussian Markov random field using Krylov subspace approaches. .
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393Drovandi, Christopher C. & Pettitt, Anthony N. (2008) Multivariate Markov Process Models for the transmission of methicillin-resistant Staphylococcus Aureus in a hospital ward. Biometrics, 64(3), pp. 851-859.
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2 2McBryde, Emma S., Kelly, Heath, Marshall, Caroline, Russo, Philip L., McElwain, D. L. Sean, & Pettitt, Anthony N. (2008) Using samples to estimate the sensitivity and specificity of a surveillance process. Infection Control and Hospital Epidemiology, 29(6), pp. 559-563.
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1 1McGrory, Clare A., Titterington, D. M., Reeves, Robert W., & Pettitt, Anthony N. (2008) Variational Bayes for estimating the parameters of a hidden Potts model. Statistics and Computing, In Press.
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152 7 8Skitmore, Martin, Pettitt, Anthony N., & McVinish, Ross S. (2007) Gates' bidding model. Journal of Construction Engineering and Management, 133(11), pp. 855-863.
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411 7 4Ridall, Peter G., Pettitt, Anthony N., Friel, Nial, McCombe, Pamela A., & Henderson, Robert D. (2007) Motor unit number estimation using reversible jump Markov chain Monte Carlo methods. Journal of the Royal Statistical Society: Series C (Applied Statistics), 56(3), pp. 235-269.
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76 11 7Webster, Ronald A. & Pettitt, Anthony N. (2007) Stability of Approximations of Average Run Length of Risk-Adjusted CUSUM Schemes Using the Markov Approach: Comparing Two Methods of Calculating Transition Probabilities. Communications in Statistics - Simulation and Computation, 36(3), pp. 471-482.
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223 3 3Forrester, Marie L., Pettitt, Anthony N., & Gibson, Gavin J. (2007) Bayesian inference of hospital-acquired infectious diseases and control measures given imperfect surveillance data. Biostatistics, 8(2), pp. 383-401.
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134 19 20Henderson, Robert, Ridall, Peter, Hutchinson, Nicole, Pettitt, Anthony, & McCombe, Pamela (2007) Bayesian Statistical MUNE Method. Muscle and Nerve, 36(2), pp. 206-213.
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15 15McBryde, Emma, Pettitt, Anthony, Cooper, B, & McElwain, Donald (2007) Characterizing an Outbreak of Vancomycin-Resistant Enterococci using Hidden Markov Models. Journal of the Royal Society Interface, 4(15), pp. 745-754.
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9 8Ridall, Gareth, Pettitt, Anthony N., Henderson, Robert D., & McCombe, Pamela A. (2006) Motor Unit Number Estimation — A Bayesian Approach. Biometrics, 62(4), pp. 1235-1250.
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140 17 14Moller, Jesper, Pettitt, Anthony N., Reeves, Robert W., & Berthelsen, Kasper K. (2006) An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika, 93(2), pp. 451-458.
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162 55 51Reeves, Robert W. & Pettitt, Anthony N. (2004) Efficient recursions for general factorisable models. Biometrika, 91(3), pp. 751-757.
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151 16 14McElwain, D. L. S., Wilson, D. P., Mathews, S., Pettitt, A. N., & Wan, C. (2004) Use of a quantitative gene expression assay based on micro-array techniques and a mathematical model for the investigation of chlamydial generation time. Bulletin of Mathematical Biology, 66(3), pp. 523-537.
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12 13Ismail, Noor A., Pettitt, Anthony N., & Webster, Ronald A. (2003) 'Online' monitoring and retrospective analysis of hospital outcomes based on a scan statistic. Statistics in Medicine, 22(18), pp. 2861-2876.
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12 12Pettitt, Anthony N., Friel, Nial, & Reeves, Robert W. (2003) Efficient calculation of the normalizing constant of the autologistic and related models on the cylinder and lattice. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65(1), pp. 235-246.
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184 14 13Pettitt, Anthony N., Haynes, Michele A., Tran, Thu, & Hay, John L. (2002) A Model for Longitudinal Employment Status of Immigrants to Australia. .
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302Hay, John & Pettitt, Anthony (2001) Bayesian Analysis of a Time Series of Counts with Covariates: An Application to the Control of an Infectious Disease. Biostatistics, pp. 433-444.
Marriott, J, Pettitt, Anthony, & Spencer, Nancy (2001) A Bayesian Approach to Selecting Covariates for Prediction. Scandinavian Journal of Statistics, pp. 87-97.
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8 7Conference Paper
Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N. (2011) Real-time evaluation of driver’s alertness on highways. In Pratelli, A & Brebbia, C A (Eds.) Urban Transport XVII, Wessex Institute of Technology Press, Pisa.
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117Larue, Gregoire, Rakotonirainy, Andry, & Pettitt, Anthony N. (2010) Driving performance on monotonous roads. In Proceedings of 20th Canadian Multidisciplinary Road Safety Conference, Canadian Association of Road Safety Professionals, Niagara Falls, Ontario.
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119Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N. (2010) Predicting driver's hypovigilance on monotonous roads: literature review. In 1st International Conference on Driver Distraction and Inattention, Gothenburg, Sweden.
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481McCombe, P. A., Henderson , R. D., Ridal, P. G., & Pettitt, A. N. (2009) Biological basis for motor unit number estimation through Bayesian statistical analysis of the stimulus-response curve. In Motor Unit Number Estimation and Quantitative EMG, Elsevier, Snowbird, Utah, pp. 39-45.
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3Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N. (2009) A model to predict hypovigilance during a monotonous task. In Proceedings of the 2009 Australasian Road Safety Research, Policing and Education Conference : Smarter, Safer Directions, Sydney Convention and Exhibition Centre, Sydney, New South Wales.
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143Huang, Dawei, Pettitt, Anthony, & Sando, Simon (2001) Computationally Efficient Interactive Refinement Techniques for Polynomial Phase Signals. In Proceedings of the 11th Institute of Electrical and Electronics Engineers Signal Processing Workshop on Statistical Signal Processing, 6-8 August 2001.
Butler, David, Norng, Sorn, Pettitt, Anthony, & Strong, Wayne (2001) Strategies to Interpret Yield Maps: Predicting Grain Protein Using Yield. In Proceedings of the 10th Australian Agronomy Conference, 29 January - 1 February 2001.
Other
Ryan, Elizabeth, Drovandi, Christopher C., Thompson, Helen, & Pettitt, Anthony N. (2013) Simulation-based high dimensional experimental design for nonlinear models. (Submitted (not yet accepted for publication))
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3Drovandi, Christopher C., Pettitt, Anthony N., Henderson, Robert, & McCombe, Pamela A. (2012) Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. (Submitted (not yet accepted for publication))
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4Pettitt, Anthony N., Haynes, Michele A., Tran, Thu T., & Hay, John L. (2004) Trends in Income Status for Immigrants to Australia. (Unpublished)
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