# Browse By Person: Pettitt, Anthony

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**63**.## 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

Darssan, Darsy, Thompson, Helen, & Pettitt, Anthony N. (2014) Incorporating adverse event relatedness into dose-finding clinical trial designs.

*Statistics in Medicine*,*33*(7), pp. 1146-1161.Ryan, Elizabeth, Drovandi, Christopher C., Thompson, Helen, & Pettitt, Anthony N. (2014) Towards Bayesian experimental design for nonlinear models that require a large number of sampling times.

*Computational Statistics and Data Analysis*,*70*, pp. 45-60.Falk, Matthew G., McGree, James, & Pettitt, Anthony N. (2014) Sampling designs on stream networks using the pseudo-Bayesian approach.

*Environmental and Ecological Statistics*. (In Press)Drovandi, Christopher C., Pettitt, Anthony N., Henderson, Robert D., & McCombe, Pamela A. (2014) Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation.

*Computational Statistics & Data Analysis*,*72*, pp. 128-146.Cameron, Ewan & Pettitt, Anthony N. (2014) Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis.

*Statistical Science*. (In Press)Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2014) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design.

*Journal of Computational and Graphical Statistics*,*23*(1), pp. 3-24. 125

Drovandi, Christopher C. & Pettitt, Anthony N. (2013) Bayesian experimental design for models with intractable likelihoods.

*Biometrics*,*69*(4), pp. 937-948. 1

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). 114

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Baumann, 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. 6

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Baumann, F., Henderson, R.D., Ridall, G., 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*,*123*(12), pp. 2446-2453. 2

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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. 120

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Ngo, 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. 6

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McGree, 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. 118

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McGrory, 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. 212

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Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation.

*Biometrics*,*67*(1), pp. 225-233. 27

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Drovandi, 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. 124

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Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Using approximate Bayesian computation to estimate transmission rates of nosocomial pathogens.

*Statistical Communications in Infectious Diseases*,*3*(1). 84

Larue, 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. 106

Larue, 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. 208

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Faddy, 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. 12

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McGrory, 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. 165

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Friel, 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. 53

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Clements, 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. 73

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Drovandi, 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. 4

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McBryde, 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. 1

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McGrory, 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*. 306

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Skitmore, Martin, Pettitt, Anthony N., & McVinish, Ross S. (2007) Gates' bidding model.

*Journal of Construction Engineering and Management*,*133*(11), pp. 855-863. 719

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Ridall, 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. 115

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Webster, 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. 322

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Forrester, 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. 146

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Henderson, Robert, Ridall, Peter, Hutchinson, Nicole, Pettitt, Anthony, & McCombe, Pamela (2007) Bayesian Statistical MUNE Method.

*Muscle and Nerve*,*36*(2), pp. 206-213. 20

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McBryde, 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. 14

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Ridall, Gareth, Pettitt, Anthony N., Henderson, Robert D., & McCombe, Pamela A. (2006) Motor Unit Number Estimation — A Bayesian Approach.

*Biometrics*,*62*(4), pp. 1235-1250. 179

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Moller, 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. 215

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Reeves, Robert W. & Pettitt, Anthony N. (2004) Efficient recursions for general factorisable models.

*Biometrika*,*91*(3), pp. 751-757. 192

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McElwain, 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. 14

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Ismail, 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. 15

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Pettitt, 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. 209

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Pettitt, 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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Hay, 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. 8

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## Conference Paper

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2014) A sequential Monte Carlo framework for adaptive Bayesian model discrimination designs using mutual information. In Lanzarone, Ettore & Ieva, Francesca (Eds.)

*Springer Proceedings in Mathematics & Statistics : the Contribution of Young Researchers to Bayesian Statistics*, Springer, Milan, Italy, pp. 19-22.McKeone, James & Pettitt, Anthony N. (2013) Bayesian P-splines with a multiplicative term in EMG trace data. In Muggeo, Vito M.R., Capursi, Vincenza, Boscaino, Giovanni, & Lovison, Gianfranco (Eds.)

*Proceedings of the 28th International Workshop on Statistical Modelling*, Statistical Modelling Society, Palermo, Italy, pp. 275-280. 6

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. 195

Larue, 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. 150

Pettitt, Anthony N., Drovandi, Christopher C., & Faddy, Malcolm (2010) Approximate Bayesian computation using auxiliary model based estimates. In Bowman, Adrian (Ed.)

*Proceedings of the 25th International Workshop on Statistical Modelling*, University of Glasgow, Glasgow, pp. 433-438. 23

Larue, 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. 594

McCombe, 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. 4

Larue, 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. 167

Huang, 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.## Working Paper

Ryan, Caitriona, Drovandi, Christopher C., & Pettitt, Anthony (2014)

*Bayesian experimental design for models with intractable likelihoods using indirect inference.*[Working Paper] (Unpublished) 10

Ryan, Elizabeth, Drovandi, Christopher C., & Pettitt, Anthony N. (2014)

*Simulation-based fully Bayesian experimental design for mixed effects models.*[Working Paper] (Unpublished) 6

Drovandi, Christopher C., Pettitt, Anthony N., & Lee, Anthony (2013)

*Bayesian indirect inference using a parametric auxiliary model.*[Working Paper] (Unpublished) 306

Ryan, Elizabeth G., Drovandi, Christopher C., & Pettitt, Anthony N. (2013)

*Fully Bayesian experimental design for pharmacokinetic studies.*[Working Paper] (Unpublished) 4

McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012)

*A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models.*[Working Paper] (Unpublished) 66

Simpson, Daniel P., Turner, Ian W., & Pettitt, Anthony N. (2008)

*Fast sampling from a Gaussian Markov random ﬁeld using Krylov subspace approaches.*[Working Paper] (Unpublished) 495

## Other

Drovandi, Christopher C., Pettitt, Anthony N., & McCutchan, Roy A. (2013)

*Exact and approximate Bayesian inference for low count time series models with intractable likelihoods.*(Unpublished) 318

Drovandi, Christopher C. & Pettitt, Anthony N. (2012)

*Discussion of : constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation.*Journal of the Royal Statistical Society, Series B : Statistical Methodology. 19

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Pettitt, Anthony N., Haynes, Michele A., Tran, Thu T., & Hay, John L. (2004)

*Trends in Income Status for Immigrants to Australia.*(Unpublished) 283