# Browse By Person: Pettitt, Anthony

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**75**.## Book

Alston, Clair, Mengersen, Kerrie, & Pettitt, Anthony N. (Eds.)
(2013)

*Case Studies in Bayesian Statistical Modelling and Analysis.*John Wiley and Sons, Chichester, West Sussex.## 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., Cusimano, Nicole, Psaltis, Steven, Lawson, Brodie A. J., Pettitt, Anthony N., Burrage, Pamela, et al.
(2016)
Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.

*Journal of the Royal Society Interface*,*13*(121), Article no. 20160214.
46

McGrory, C.A., Pettitt, A.N., Titterington, D. M., Alston, C.L., & Kelly, M
(2016)
Transdimensional sequential Monte Carlo using variational Bayes — SMCVB.

*Computational Statistics and Data Analysis*,*93*, pp. 246-254.
1

Drovandi, Christopher C., Pettitt, Anthony N., & McCutchan, Roy A.
(2016)
Exact and approximate Bayesian inference for low count time series models with intractable likelihoods.

*Bayesian Analysis*,*11*(2), pp. 325-352.
475

Ryan, Caitriona M., Drovandi, Christopher C., & Pettitt, Anthony N.
(2016)
Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models.

*Bayesian Analysis*,*11*(3), pp. 857-883.
77

McGree, James, Drovandi, Christopher C., White, Gentry, & Pettitt, Anthony N.
(2016)
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.

*Statistics and Computing*,*26*(5), pp. 1121-1136.

Ryan, Elizabeth G., Drovandi, Christopher C., McGree, James M., & Pettitt, Anthony N.
(2016)
A review of modern computational algorithms for Bayesian optimal design.

*International Statistical Review*,*84*(1), pp. 128-154.

Vo, Brenda N., Drovandi, Christopher C., Pettitt, Anthony N., & Pettet, Graeme J.
(2015)
Melanoma cell colony expansion parameters revealed by approximate Bayesian computation.

*PLOS Computational Biology*,*11*(12), e1004635.
86

1

1

Vo, Brenda N., Drovandi, Christopher C., Pettitt, Anthony N., & Simpson, Matthew J.
(2015)
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation.

*Mathematical Biosciences*,*263*, pp. 133-142.
12

3

3

Larue, Gregoire S., Rakotonirainy, Andry, & Pettitt, Anthony N.
(2015)
Predicting reduced driver alertness on monotonous highways : a driving simulator study.

*IEEE Pervasive Computing*,*14*(2), pp. 78-85.
1

Drovandi, Christopher C., Pettitt, Anthony N., & Lee, Anthony
(2015)
Bayesian indirect inference using a parametric auxiliary model.

*Statistical Science*,*30*(1), pp. 72-95.
431

1

3

Ryan, Elizabeth G., Drovandi, Christopher C., & Pettitt, Anthony N.
(2015)
Fully Bayesian experimental design for pharmacokinetic studies.

*Entropy*,*17*(3), pp. 1063-1089.
30

4

Lee, Xing Ju, Drovandi, Christopher C., & Pettitt, Anthony N.
(2015)
Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets.

*Biometrics*,*71*(1), pp. 198-207.
17

2

2

Ryan, Elizabeth, Drovandi, Christopher C., & Pettitt, Anthony N.
(2015)
Simulation-based fully Bayesian experimental design for mixed effects models.

*Computational Statistics and Data Analysis*,*92*, pp. 26-39.
1

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.
11

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.
30

4

5

Falk, Matthew G., McGree, James, & Pettitt, Anthony N.
(2014)
Sampling designs on stream networks using the pseudo-Bayesian approach.

*Environmental and Ecological Statistics*,*21*(4), pp. 751-773.
1

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.
38

2

1

Cameron, Ewan & Pettitt, Anthony N.
(2014)
Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis.

*Statistical Science*,*29*(3), pp. 397-419.
4

5

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.
223

2

3

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

*Biometrics*,*69*(4), pp. 937-948.
141

12

10

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).
166

11

10

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.
12

12

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.
5

6

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.
171

9

7

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.
15

13

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.
169

2

2

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*.
2

2

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.
335

22

16

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

*Biometrics*,*67*(1), pp. 225-233.
54

52

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.
196

24

14

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).
148

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.
263

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.
262

8

5

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.
25

16

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.
228

7

5

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.
95

83

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.
95

77

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.
11

10

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

1

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*.
491

20

26

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

*Journal of Construction Engineering and Management*,*133*(11), pp. 855-863.
1,247

15

9

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.
291

14

10

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.
422

3

4

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.
171

28

28

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

*Muscle and Nerve*,*36*(2), pp. 206-213.
28

26

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.
22

21

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.
197

28

23

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.
367

116

93

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

*Biometrika*,*91*(3), pp. 751-757.
243

28

25

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

15

Ismail, Noor Azina, 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.
19

14

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.
287

18

17

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.
9

7

## 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.
23

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.
20

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.
260

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.
201

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.
47

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.
822

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.
214

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.## Conference Item

Pirathiban, R., Williams, K.J., Pettitt, A.N., & Low-Choy, S.J.
(2015)
Eliciting and encoding expert knowledge on variable selection into classical or Bayesian species distribution models. In

*The International Biometric Society Australasian Region Conference 2015: BIOMETRICS by the Harbour*, 30 November - 3 December 2015, Hobart, Tasmania.
36

## Working Paper

Price, Leah F., Drovandi, Christopher C., & Pettitt, Anthony N.
(2016)

*Sequential Monte Carlo for static Bayesian models with independent MCMC proposals.*[Working Paper] (Unpublished)
6

Vo, Brenda N., Drovandi, Christopher C., & Pettitt, Anthony N.
(2015)

*Bayesian parametric bootstrap for models with intractable likelihoods.*[Working Paper] (Unpublished)
104

10

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)
92

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)
596

Pettitt, Anthony N., Haynes, Michele A., Tran, Thu, & Hay, John L.
(2002)

*A model for longitudinal employment status of immigrants to Australia.*[Working Paper] (Unpublished)
360

## Other

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.
78

117

96

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

*Trends in Income Status for Immigrants to Australia.*(Unpublished)
303