# Items where Subject is "Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)"

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- Australian and New Zealand Standard Research Classification (46832)
- MATHEMATICAL SCIENCES (010000) (1513)
**STATISTICS (010400)**(502)

- MATHEMATICAL SCIENCES (010000) (1513)

- Australian and New Zealand Standard Research Classification (46832)

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Number of items at this level:

**159**.## A

Abernethy, Jacob , Agarwal, Alekh , & Bartlett, Peter L.
(2009)
A Stochastic View of Optimal Regret through Minimax Duality. In
Dasgupta , S & Klivans, A (Eds.)

*Proceedings of the 22nd Annual Conference on Learning Theory*, Montreal, Quebec.
65

1

Alston, Clair & Mengersen, Kerrie
(2010)
Allowing for the effect of data binning in a Bayesian Normal mixture model.

*Computational Statistics and Data Analysis*,*54*(4), pp. 916-923.
5

3

Anh, Vo, Grecksch, Wilfried, & Yong, Jiongmin
(2011)
Regularity of backward stochastic volterra integral equations in Hilbert spaces.

*Stochastic Analysis and Applications*,*29*(1), pp. 146-168.
4

3

Anh, Vo V. & Leonenko, Nikolai N.
(2002)
Renormalization and Homogenization of Fractional Diffusion Equations with Random Data.

*Probability Theory and Related Fields*,*124*(3), pp. 381-408.
476

30

26

Anh, Vo V. & Leonenko, Nikolai N.
(2001)
Spectral Analysis of Fractional Kinetic Equations with Random Data.

*Journal of Statistical Physics*,*104*(5/6), pp. 1349-1387.
695

92

78

Anh, Vo V. & McVinish, Ross S.
(2004)
The Riesz-Bessel Fractional Diffusion Equation.

*Applied Mathematics and Optimization*,*49*(3), pp. 241-264.
499

3

3

Anthony, Martin & Bartlett, P. L.
(1999)

*Neural network learning:theoretical foundations.*Cambridge University Press, Cambridge, U.K..

Arlot, Sylvain & Bartlett, Peter L.
(2011)
Margin-adaptive model selection in statistical learning.

*Bernoulli*.
2

3

Assareh, Hassan, Smith, Ian, & Mengersen, Kerrie
(2011)
Change point detection in risk adjusted control charts.

*Statistical Methods in Medical Research*,*Online*(Online), pp. 1-22.
2

1

## B

Barnett, Adrian
(2007)
Temperature and cardiovascular deaths in the US elderly: changes over time.

*Epidemiology, Blackwell Scientific (Oxford)*,*18*(3), pp. 369-372.
83

78

Barnett, Adrian, Van Der Pols, Jolieke, & Dobson, Annette
(2005)
Regression to the mean: what it is and how to deal with it.

*International Journal of Epidemiology*,*34*(1), pp. 215-220.
492

459

Barnett, Adrian G. & Wolff, Rodney C.
(2005)
A time-domain test for some types of non-linearity.

*IEEE Transactions on Signal Processing*,*53*(1), pp. 26-33.
952

34

28

Bartlett, Peter & Mendelson, Shahar
(2006)
Discussion: Local Rademacher complexities and oracle inequalities in risk minimization.

*Annals of Statistics*,*34*(6), pp. 2657-2663.
1

Bartlett, Peter L., Bousquet, Olivier, & Mendelson, Shahar
(2005)
Local Rademacher complexities.

*The Annals of Statistics*,*33*(4), pp. 1497-1537.
171

118

Bartlett, Peter L., Jordan, Michael I, & McAuliffe, Jon D
(2006)
Convexity, Classification, and Risk Bounds.

*Journal of the American Statistical Association*,*101*(473), pp. 138-156.
316

231

Bartlett, Peter L., Jordan, Michael I., & McAuliffe, Jon D.
(2006)
Comment.

*Statistical Science*,*21*(3), pp. 341-346.
2

Bartlett, Peter L. & Mendelson, Shahar
(2006)
Empirical minimization.

*Probability Theory and Related Fields*,*135*(3), pp. 311-334.
41

36

Bartlett, Peter L., Mendelson, Shahar, & Philips, Petra
(2010)
On the optimality of sample-based estimates of the expectation of the empirical minimizer.

*ESAIM : Probability and Statistics*,*14*(Jan), pp. 315-337.
1

Barton, David N., Kuikka, Sakari, Varis, Olli, Uusitalo, Laura, Henriksen, Hans Jørgen, Borsuk, Mark, et al.
(2012)
Bayesian networks in environmental and resource management.

*Integrated Environmental Assessment and Management*,*8*(3), pp. 418-429.
24

26

## C

Caley, M. Julian, O'Leary, Rebecca A., Fisher, Rebecca, Low-Choy, Samantha, Johnson, Sandra, & Mengersen, Kerrie
(2014)
What is an expert? A systems perspective on expertise.

*Ecology and Evolution*,*4*(3), pp. 231-242.
4

3

Carrigan, Gretchen, Barnett, Adrian, Dobson, Annette, & Mishra, Gita
(2007)
Compensating for Missing Data from Longitudinal Studies Using WinBUGS.

*Journal of Statistical Software*,*19*(7), pp. 1-17.

Chen, Samantha, Rakotonirainy, Andry, Loke, Seng Wai, & Krishnaswamy, Shonali
(2007)
A crash risk assessment model for road curves. In

*20th International Technical Conference on the Enhanced Safety of Vehicles*, 18-21 June 2007, Lyons, France.
541

Chin, Hoong Chor & Debnath, Ashim Kumar
(2008)
Statistical analysis of conflict involvements in port water navigation. In

*Proceedings of the MARTECH 2008 Conference*, Singapore Maritime Academy, Singapore.
89

Conway, Aaron, Rolley, John X., Fulbrook, Paul, Page, Karen, & Thompson, David R.
(2013)
Improving statistical analysis of matched case-control studies.

*Research in Nursing & Health*,*36*(3), pp. 320-324.
4

4

Cramb, Susanna, Mengersen, Kerrie, Turrell, Gavin, & Baade, Peter
(2012)
Spatial inequalities in colorectal and breast cancer survival : premature deaths and associated factors.

*Health and Place*,*18*(6), pp. 1412-1421.
147

10

12

## D

Davey, Jeremy D., Enraght-Moony, Emma L., Tippett, Vivienne, Freeman, James E., Steinhardt, Dale A., & Wishart, Darren E.
(2007)
A state-wide analysis of pre-hospital injuries and fatalities resulting from motorcycle road traffic accidents in Queensland.

*Road and Transport Research: A journal of Australian and New Zealand research and practice*,*16*(3), pp. 30-40.
687

Debnath, Ashim Kumar, Blackman, Ross A., & Haworth, Narelle L.
(2014)
A Tobit model for analyzing speed limit compliance in work zones.

*Safety Science*,*70*, pp. 367-377.
4

4

Debnath, Ashim Kumar & Chin, Hoong Chor
(2007)
Analysis of involved parties in port water conflicts. In

*The 20th KKCNN Symposium on Civil Engineering*, 4-5 October 2007, Jeju, South Korea.
82

Debnath, Ashim Kumar & Chin, Hoong Chor
(2009)
Perceived collision risks in anchorages : a hierarchical ordered probit analysis. In
Debnath, Ashim Kumar & Chin, Hoong Chor (Eds.)

*8th Eastern Asia Society for Transportation Studies Conference*, 16-19 November 2009, Surabaya, Indonesia.
169

Denham, Robert & Mengersen, Kerrie
(2007)
Geographically Assisted Elicitation of Expert Opinion for Regression Models.

*Bayesian Analysis*,*2*(1), pp. 99-136.
23

18

Denman, Nick, McGree, James, Eccleston, John, & Duffull, Stephen
(2011)
Design of experiments for bivariate binary responses modelled by Copula functions.

*Computational Statistics and Data Analysis*,*55*(4), pp. 1509-1520.
241

5

3

Diongue, Abdou Ka, Guegan, Dominique, & Wolff, Rodney
(2010)
BL-GARCH models with elliptical distributed innovations.

*Journal of Statistical Computation and Simulation*,*80*(7), pp. 775-791.
5

2

Drovandi, Christopher C.
(2014)

*Pseudo-marginal algorithms with multiple CPUs.*[Working Paper] (Unpublished)
169

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.
42

Drovandi, Christopher C., Holmes, Christopher, McGree, James, Mengersen, Kerrie, Richardson, Sylvia, & Ryan, Elizabeth
(2015)

*A principled experimental design approach to Big Data analysis.*[Working Paper] (Unpublished)
176

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

10

8

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.
217

2

2

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.
22

Drovandi, Christopher C., Moores, Matthew T., & Boys, Richard J.
(2015)

*Accelerating Pseudo-Marginal MCMC using Gaussian Processes.*[Working Paper] (Unpublished)
51

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

*Biometrics*,*69*(4), pp. 937-948.
140

10

9

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.
72

104

91

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

50

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.

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

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).
145

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.
192

24

13

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.
36

2

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

2

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.
467

Drovandi, Christopher C. & Pettitt, Tony
(2011)
Likelihood-free Bayesian estimation of multivariate quantile distributions.

*Computational Statistics and Data Analysis*,*55*(9), pp. 2541-2556.
14

11

## F

Faddy, Malcolm & McClean, Sally
(2007)
Using a Multi-State Model to Enhance Understanding of Geriatric Patient Care.

*Australian Health Review*,*31*(1), pp. 91-97.
4

5

Faddy, Malcolm & Smith, David
(2011)
Analysis of count data with covariate dependence in both mean and variance.

*Journal of Applied Statistics*,*38*(12), pp. 2683-2694.
3

2

Falta, Michael & Wolff, Rodney C.
(2004)
Recent developments of statistical approaches in cost accounting: a review.

*International Statistical Review*,*72*(3), pp. 377-396.
740

3

Fletcher, David & Faddy, Malcolm
(2007)
Confidence Intervals for Expected Abundance of Rare Species.

*Journal of Agricultural, Biological, and Environmental Statistics*,*12*(3), pp. 315-324.
4

4

Foo, Lee Kien, McGree, James, Eccleston, John, & Duffull, Stephen
(2012)
Comparison of robust criteria for D-optimal design.

*Journal of Biopharmaceutical Statistics*,*22*(6), pp. 1193-1205.
6

5

Friel, Nial & Pettitt, Tony
(2011)
Classification using distance nearest neighbours.

*Statistics and Computing*,*Online*(Online), pp. 1-7.
4

4

Friel, Nial, Pettitt, Tony, Reeves, Robert, & Wit, Ernst
(2009)
Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices.

*Journal of Computational and Graphical Statistics*,*18*(2), pp. 243-261.
21

20

Frijters, Paul, Haisken-DeNew, John, & Shields, Michael
(2011)
The increasingly mixed proportional hazard model: An application to socioeconomic status, health shocks, and mortality.

*Journal of Business and Economic Statistics*,*29*(2), pp. 271-281.
6

6

## G

Gaglianone, Wagner, Lima, Luiz, Linton, Oliver, & Smith, Daniel
(2011)
Evaluating value-at-risk models via quantile regression.

*Journal of Business and Economic Statistics*,*29*(1), pp. 150-160.
23

21

Gajda, Dorota, Guihenneuc-Jouyaux, Chantal, Rousseau, Judith, Mengersen, Kerrie, & Nur, Darfiana
(2010)
Use in practice of importance sampling for respected MCMC for Poisson models.

*Electronic Journal of Statistics*,*4*(2010), pp. 361-383.
2

Gao, Jiti, Tong, Howell, & Wolff, Rodney C.
(2002)
Adaptive orthogonal series estimation in additive stochastic regression models.

*Statistica Sinica*,*12*(2), pp. 409-428.
401

4

3

Goater, Sarah, Cook, Angus, Hogan, Anthony, Mengersen, Kerrie, Hieatt, Arron, & Weinstein, Phillip
(2011)
Strategies to strengthen public health inputs to water policy in response to climate change: An Australian perspective.

*Asia-Pacific Journal of Public Health*,*23*(s2), 80S-90S.
4

3

Goldsmith, C.H., Duku, E., Brooks, P.M., Boers, M., Tugwell, P.S.L., & Baker, P.R.
(1995)
Interactive conference voting.

*Journal of Rheumatology*,*22*(7), pp. 1420-1430.
12

2

2

Grecksch, Wilfried & Anh, Vo
(2012)
An infinite-dimensional fractional linear quadratic regulator problem.

*Stochastic Analysis and Applications*,*30*(2), pp. 203-219.## H

Hall, Peter, Wolff, Rodney C., & Yao, Qiwei
(1999)
Methods for estimating a conditional distribution function.

*Journal of the American Statistical Association*,*94*(445), pp. 154-163.
439

144

136

Hall, Peter A. & Wolff, Rodney C.
(1995)
Estimators of integrals of powers of density derivatives.

*Statistics and Probability Letters*,*24*(2), pp. 105-110.
186

3

3

Hall, Peter A. & Wolff, Rodney C.
(1998)
Properties of distributions and correlation integrals for generalised versions of the logistic map.

*Stochastic Processes and Their Applications*,*77*(1), pp. 123-137.
120

3

3

Hall, Peter A. & Wolff, Rodney C.
(1995)
Properties of invariant distributions and Lyapunov exponents for chaotic logistic maps.

*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*,*57*(2), pp. 439-452.
392

10

Harding, Don & Pagan, Adrian
(2011)
An econometric analysis of some models for constructed binary time series.

*Journal of Business and Economic Statistics*,*29*(1), pp. 86-95.
7

7

Haworth, Narelle L.
(2006)
Integrating policy approaches for vulnerable road users. In

*29th Australasian Transport Research Forum*, 27-29 September 2006, Gold Coast, Australia.
325

Haworth, Narelle L. & Nielson, Angela L.
(2008)
Motor scooters and mopeds - are increasing sales translating into increasing crashes? In

*TRB 87th Annual Meeting*, 13-17 January 2008, Washington DC.
330

8

6

Haworth, Narelle L. & Nielson, Angela L.
(2007)
Motor scooters and mopeds: A growing attraction for young people. In

*Australasian College of Road Safety Conference on Infants, Children and Young People and Road Safety*, 2-3 August 2007, Sydney, Australia.
428

Heffernan, Maree E. & David, Nikki
(2007)

*Legal and project agreement issues in collaboration and e-Research: Survey results.*
2,160

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

Hughes, Juanita, Ayoko, Godwin A., Collett, Simon, & Golding, Gary
(2013)
Rapid quantification of methamphetamine: using Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) and Chemometrics.

*PLoS ONE*,*8*(7), e69609.
124

3

3

Hughes, Juanita, Izake, Emad L., Lott, William B., & Ayoko, Godwin A.
(2014)
Label-free SERS for natural product provenance. In

*24th Anniversary World Congress on Biosensors*, 28-30 May 2014, Melbourne Convention and Exhibition Centre, Melbourne, VIC. (Unpublished)
52

## I

Inoue, Lurdes, Neira, Mauricio, Nelson, Colleen, Gleave, Martin, & Etzioni, Ruth
(2007)
Cluster-based network model for time-course gene expression data.

*Biostatistics*,*8*(3), pp. 507-525.
17

14

## J

Johnson, Sandra & Mengersen, Kerrie
(2009)
A Bayesian network approach to modelling temporal behaviour of Lyngbya majuscula bloom initiation. In
Anderssen, R.S., Braddock, R.D., & Newham, L.T.H (Eds.)

*Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation*, Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, Cairns, QLD, pp. 4255-4261.
41

Johnson, Sandra, Mengersen, Kerrie, Ahern, Col, Pointon, Shane, Vowles, Chris, & Ahern, Kathleen
(2009)
Integrating Bayesian Networks and a GIS-based Nutrient Hazard map of Lyngbya majuscula. In

*Queensland Coastal Conference 2009 : Waves of Change*, 12-15 May 2009, Sea World Resort, Gold Coast, Australia.
48

## K

Kang, Su Yun, McGree, James, & Mengersen, Kerrie
(2013)
The impact of spatial scales and spatial smoothing on the outcome of Bayesian spatial model.

*PLoS ONE*,*18*(10).
81

3

3

Kerlin, Douglas, H., Boyce, Kane, Marfurt, Jutta, Simpson, Julie, A., Kenangalem, Enny, Cheng, Qin, et al.
(2012)
An analytical method for assessing stage-specific drug activity in Plasmodium vivax malaria : implications for ex vivo drug susceptibility testing.

*PLoS Neglected Tropical Diseases*,*6*(8), e1772.
53

10

9

King, Mark J., Soole, David W., & Ghafourian, Ameneh
(2009)
Illegal pedestrian crossing at signalised intersections : Incidence and relative risk.

*Accident Analysis and Prevention*,*41*(3), pp. 485-490.
1,789

51

35

## L

Lawrance, Anthony J. & Wolff, Rodney C.
(2003)
Binary time series generated by chaotic logistic maps.

*Stochastics and Dynamics*,*3*(4), pp. 529-544.
784

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.
16

2

2

Lenne, Michael, Salmon, Paul, Regan, Michael, Haworth, Narelle L., & Fotheringham, Nicola
(2007)
Using Aviation Insurance Data to Enhance General Aviation Safety: Phase One Feasibility Study.
In
Anca, J. M. (Ed.)

*Multimodal Safety Management and Human Factors: Crossing the Borders of Medical, Aviation, Road and Rail Industries.*Ashgate, Aldershot, UK, pp. 73-82.## M

MARTIN, TARA G., BURGMAN, MARK A., FIDLER, FIONA, KUHNERT, PETRA M., LOW-CHOY, SAMANTHA, MCBRIDE, MARISSA, et al.
(2012)
Eliciting Expert Knowledge in Conservation Science.

*Conservation Biology*,*26*(1), pp. 29-38.
130

116

MacGillivray, Helen & Turner, Ian
(2005)
Components of learning and assessment in linear algebra. In
Bulmer, M., MacGillivray, H., & Varsavsky, C. (Eds.)

*Proceedings of Kingfisher Delta 2005*, 22-26 November, 2005, Fraser Island, Qld.
246

Martinez, Luis A. & Wolff, Rodney C.
(2006)
Modelling the initial pit design: the first step for project valuation. In

*6th Mining Geology Conference*, 21-23 August 2006, Darwin.

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

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.
168

2

2

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.

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

McGree, James, Drovandi, Christopher C., White, Gentry, & Pettitt, Anthony N.
(2015)
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.

*Statistics and Computing*. (In Press)

McGree, James & Eccleston, John
(2010)
Investigating design for survival models.

*Metrika: international journal for theoretical and applied statistics*,*72*(3), pp. 295-311.
4

4

McGree, James & Eccleston, John
(2008)
Probability-based optimal design.

*Australian and New Zealand Journal of Statistics*,*50*(1), pp. 13-28.
8

7

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.
224

7

5

McLeod, A. Ian & Vingilis, Evelyn R.
(2008)
Power computations in time series analyses for traffic safety interventions.

*Accident Analysis and Prevention*,*40*(3), pp. 1244-1248.
12

12

Mengersen, Kerrie, Quinlan, M. M., Whittle, P. J. L., Knight, J. D., Mumford, J. D., Wan Ismail, W. N., et al.
(2012)
Beyond compliance : project on an integrated systems approach for pest risk management in South East Asia.

*EPPO Bulletin*,*42*(1), pp. 109-116.
208

5

Mengersen, Kerrie L.
(2005)
Markov chain Monte Carlo, recent developments.
In
Armitage, Peter & Colton, Theodore (Eds.)

*Encyclopedia of Biostatistics.*John Wiley & Sons, Chichester, West Sussex.

Moller, Jesper & Mengersen, Kerrie
(2007)
Ergodic Averages for Monotone Functions Using Upper and Lower Dominating Processes.

*Bayesian Analysis*,*2*(4), pp. 761-782.

Moores, Matt, Alston, Clair, & Mengersen, Kerrie
(2014)
Scalable Bayesian Computation for intractable likelihoods in image analysis. In

*Fifth IMS-ISBA Joint Meeting (MCMSki IV)*, 6 - 8 January 2014, Chamonix, France. (Unpublished)
14

Moores, Matthew T., Drovandi, Christopher C., Mengersen, Kerrie, & Robert, Christian P.
(2015)
Pre-processing for approximate Bayesian computation in image analysis.

*Statistics and Computing*,*25*(1), pp. 23-33.
17

1

1

## N

Nott, David, Drovandi, Christopher C., Mengersen, Kerrie, & Evans, Michael
(2015)

*Approximation of Bayesian predictive p-values with regression ABC.*[Working Paper] (Unpublished)
89

Nur, Darfiana, Mengersen, Kerrie L., & Wolff, Rodney C.
(2005)
Phase randomisation: a convergence diagnostic test for MCMC.

*Australian and New Zealand Journal of Statistics*,*47*(3), pp. 309-323.
372

## P

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.
46

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.
284

17

17

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)
359

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

*Trends in Income Status for Immigrants to Australia.*(Unpublished)
301

Porter, Michael D. & White, Gentry
(2012)
Self-exciting hurdle models for terrorist activity.

*The Annals of Applied Statistics*,*6*(1), pp. 106-124.
13

Price, Leah F., Drovandi, Christopher C., Lee, Anthony, & Nott, David J.
(2016)

*Bayesian synthetic likelihood.*[Working Paper] (Unpublished)
144

## R

Rajmokan, Mohana, Morton, Anthony, Mengersen, Kerrie, Hall, Lisa, & Waterhouse, M.
(2011)
Using a Bayesian network to model colonisation with Vancomycin Resistant Enterococcus
(VRE). In

*Third Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2011)*, 21-24 November 2011, Queensland University of Technology, Brisbane, QLD.
124

Reichert, P., White, G., Bayarri, M.J., & Pitman, E.B.
(2011)
Mechanism based emulation of dynamic simulation models : concept and application in hydrology.

*Computational Statistics and Data Analysis*,*55*(4), pp. 1638-1655.
21

20

Roberts, Sharon, Vingilis, Evelyn, Wilk, Piotr, & Seeley, Jane
(2008)
A comparison of self-reported motor vehicle collision injuries compared with official collision data: An analysis of age and sex trends using the Canadian National Population Health Survey and Transport Canada data.

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Visualization of predictive distributions for discrete spatial-temporal log Cox processes approximated with MCMC. In

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Latent class piecewise linear trajectory modelling for short-term cognition responses after chemotherapy for breast cancer patients.

*Journal of Applied Statistics*,*37*(5), pp. 725-738.

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Bayesian estimation of extent of recovery for aspects of verbal memory in women undergoing adjuvant chemotherapy treatment for breast cancer.

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Rousseau, Judith & Mengersen, Kerrie
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Asymptotic behaviour of the posterior distribution in overfitted mixture models.

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Ruiz-Medina, Maria, Anh, Vo, & Angulo, Jose
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Multifractional markov processes in heterogeneous domains.

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Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models.

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*Some practical issues in the design and analysis of computer experiments.*PhD thesis, Victoria University, Melbourne.
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Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.

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Bayesian analysis of the stochastic conditional duration model.

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Fast Bayesian analysis of spatial dynamic factor models for multitemporal remotely sensed imagery.

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Fatal Crashes Involving Young Male Drivers: A continuous time Poisson change-point analysis.

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Methodological issues in evaluation models: the New Zealand road safety advertising campaign revisited.

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Differential expression and network inferences through functional data modeling.

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Thamrin, Sri, McGree, James, & Mengersen, Kerrie
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Bayesian Weibull survival model for gene expression data.
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Simulated maximum likelihood method for estimating kinetic rates in gene expression.

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The rule of three, its variants and extensions.

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White, Gentry & Ghosh, Sujit K.
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Terrorism risk, resilience and volatility : a comparison of terrorism patterns in three Southeast Asian countries.

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Simultaneous estimation of hunting pressure, harvest and hunter success rates using WinBUGS.

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An additive model for spatio-temporal smoothing of cancer mortality rates.

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White, Nicole, Johnson, Helen, Silburn, Peter A., Mellick, George, Dissanayaka, Nadeeka, & Mengersen, Kerrie L.
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Probabilistic subgroup identification using Bayesian finite mixture modelling : a case study in Parkinson’s disease phenotype identification.

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Statistical tests for Lyapunov exponents of deterministic systems.

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Wolpert, Robert L. & Mengersen, Kerrie L.
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Adjusted likelihoods for synthesising empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke.

*Statistical Science*,*19*(3), pp. 450-471.
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Wood, Ian, Visscher, Peter, & Mengersen, Kerrie
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Classification Based upon Gene Expression Data: Bias and Precision of Error Rates.

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Wraith, D. & Mengersen, K.
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A Bayesian approach to assess interaction between known risk factors: The risk of lung cancer from exposure to asbestos and smoking.

*Statistical Methods in Medical Research*,*17*(2), pp. 171-189.
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Wu, Burton, McGrory, Clare, & Pettitt, Tony
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A new variational Bayesian algorithm with application to human mobility pattern modeling.

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Wu, Paul P., Pitchforth, Jegar, & Mengersen, Kerrie
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*A Hybrid Queue-based Bayesian Network Framework for passenger facilitation modelling.*(Unpublished)## X

Xueou, Wang, Nott, David J., Drovandi, Christopher C., Mengersen, Kerrie, & Evans, Michael
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*Using history matching for prior choice.*[Working Paper] (Unpublished)
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Yang, Jian-Yi, Yu, Zu-Guo, & Anh, Vo
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Correlations between designability and various structural characteristics of protein lattice models.

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Yu, Zu-Guo, Anh, Vo V., & Lau, Ka-Sing
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Chaos Game Representation of Protein Sequences based on the detailed HP model and their multifractal and correlational analysis.

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