Professor Kerrie Mengersen
ACEMS Deputy Director, Chief Investigator
My focus is on using and developing new statistical and computational methods that can help to solve complex problems in the real world. These problems are in the fields of environment, genetics, health and medicine, and industry. My research areas include Bayesian statistics, hierarchical modelling and complex systems. What’s best about my job? That I can work with a diverse range of people doing outstanding things in many different areas, and contribute expertise in an important component of their work: making the best use of their data to help them make better decisions.
Research Interests:
Applied statistics
Bayesian networks
Bayesian statistical modelling
Complex systems modelling
computational methods and applications
Digging postholes
Qualifications:
PhD (University of New England)
BA(Hons) (University of New England)
Projects
Publications
Books
(2015). Biosecurity Surveillance: Quantitative Approaches.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). doi: 10.1079/9781780643595.0000
Book Chapters
(2020). Thresholds of Coral Cover That Support Coral Reef Biodiversity.
(Mengersen, KL., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 385 - 398. doi: 10.1007/978-3-030-42553-1_16
(2020). Bayesian Methods in Sport Statistics.
(Balakrishnan, N.., Colton T., Everitt B., Piegorsch W., Ruggeri F., & Teugels J. L., Ed.).Wiley StatsRef: Statistics Reference Online. 1 - 8. doi: 10.1002/9781118445112.stat08179
(2020). Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation.
(Nicosia, G., Pardalos P., Umeton R., Giuffrida G., & Sciacca V., Ed.).Lecture Notes in Computer Science: Machine Learning, Optimization, and Data Science. 1, 484 - 495. doi: 10.1007/978-3-030-37599-7_40
(2019). Applications in Industry.
(Fruhwirth-Schnatter, S., Celeux G., & Robert C. P., Ed.).Handbook of Mixture Analysis.
(2018). Approximating the Likelihood in ABC.
Handbook of Approximate Bayesian Computation. 321-368.
(2015). Statistical Analysis of N-of-1 Trials.
(Nikles, J., & Mitchell G., Ed.).The Essential Guide to N-of-1 Trials in Health. 135-153. doi: 10.1007/978-94-017-7200-6_12
(2015). Using Bayesian networks to model surveillance in complex plant and animal health systems.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.).Biosecurity Surveillance: Quantitative Approaches. 278-295. doi: 10.1079/9781780643595.0278
(2015). Biosecurity surveillance in agriculture and environment: a review.
(Jarrad, F.., Low-Choy S.., & Mengersen K.., Ed.).Biosecurity surveillance: quantitative approaches. 9-42. doi: 10.1079/9781780643595.0009
(2015). Design of a surveillance system for non-indigenous species on Barrow Island: plants case study.
(Nikles, J., & Mitchell G., Ed.).Biosecurity surveillance: quantitative approaches. 203-216. doi: 10.1079/9781780643595.0203
(2015). Designing surveillance for emergency response.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.).Biosecurity surveillance: quantitative approaches. 123-133. doi: 10.1079/9781780643595.0123
(2015). The role of surveillance in evaluating and comparing international quarantine systems.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.).Biosecurity Surveillance: Quantitative Approaches. 137-150. doi: 10.1079/9781780643595.0137
(2015). Systematic Review and Meta-analysis Using N-of-1 Trials.
(Nikles, J., & Mitchell G., Ed.).The Essential Guide to N-of-1 Trials in Health. 211-231. doi: 10.1007/978-94-017-7200-6_16
Invited talks, refereed proceedings and other conference outputs
(2020). Identification of two-phase recovery in hard corals across the Great Barrier Reef.
ACEMS 2020 Virtual Retreat.
(2020). Characterisation of the global response to the COVID-19 pandemic.
ACEMS COVID‐19 Research Workshop.
(2020). Propagating uncertainty through to model forecasts: deterministic Lotka-Volterra systems as a case study.
Quantitative Ecology Virtual Meeting 2020.
(2019). Minimising Dengue Spread Using TIP Therapy.
Bayes on the Beach 2019.
(2019). Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling - poster Bayes on the Beach.
Bayes on the Beach 2019.
(2019). Evaluating the interplay between clusters, climatic covariates and spatial priors in spatio-temporal modelling of dengue in Makassar, Indonesia.
Bayes on the Beach 2019.
(2019). Bayesian Learning for Decision Making in the Big Data Era.
Bayes on the Beach 2019.
(2019). Bayesian Indirect Likelihood for the Potts Model.
The 12th International Conference on Monte Carlo Methods and Applications.
(2019). Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling - poster.
40th Annual Conference of the International Society for Clinical Biostatistics.
(2019). Bayesian Empirical Likelihood Spatial Model applying Leroux Structure.
Bayes on the Beach 2019.
(2019). Temporal Modeling of Dengue Fever: A Comprehensive Literature Review.
3rd International Conference on Mathematics, Sciences, Technology, Education and their application (ICSMTEA) in Conjunction with 1st International Symposium on Green Materials & Technology (ISGMT).. 967, 15-21. doi: 10.4028/www.scientific.net/MSF.967.15
(2019). The Challenges, Discoveries and Examples of ABC.
The 12th International Conference on Monte Carlo Methods and Applications.
(2019). Computing the Australian Cancer Atlas: getting it ‘just right’.
The 12th International Conference on Monte Carlo Methods and Applications.
(2019). Multivariate Bayesian meta-analysis model to analyse estimated cancer incidence.
ACEMS Students and ECR Retreat.
(2019). Observational Uncertainty in Bayesian Networks and State Space Models.
Bayes on the Beach 2019.
(2019). Predicting the need for hydrogel spacers in prostate radiotherapy - a statistical modelling approach.
Australian Society of Medical Imaging and Radiation Therapy National Conference. doi: 10.1002/jmrs.2019.66.issue-S1,10.1002/jmrs.324
(2019). Virtual reality meets data science.
OzViz 2019.
(2019). Minimising the severity of dengue Serotype 1 infection by transmissible interfering particles.
ACEMS Node Planning Day.
(2019). Small-area melanoma incidence patterns across Australia: the thick and thin of it.
Australasian Epidemiological Association Annual Scientific Meeting 2019.
(2019). Virtual Reef Diver.
International Workshop on Spatial Statistics.
(2019). Augmeting Disease Maps: a Bayesian meta-analysis approach.
Young Statisticians Conference 2019.
(2019). Bayesian Statistical Analysis of Large Images.
Data Science Down Under 2019.
(2019). Minimising Dengue Spread by Transmissible Interfering Particles.
Young Statistician Conference 2019.
(2019). Combining citizen science and professional monitoring data to conserve and sustainably use marine resources.
62nd ISI World Statistics Congress.
(2019). Bayesian Empirical Likelihood Spatial Model applying Leroux Structure.
Young Statisticians Conference 2019.
(2019). Bayesian spatio-temporal conditional autoregressive localised model.
ACEMS Retreat 2019.
(2019). Which way should I cycle? A case study in Bayesian modelling for decision-making under uncertainty study.
ICSMTR2019: 3rd International Conference on Statistics, Mathematics, Teaching, and Research.
(2018). A hybrid Bayesian low rank approximation model for nonlocal image denoising.
EURASIP Summer School on Tensor-Based Signal Processing.
(2018). Spatial and machine learning methods of satellite imagery analysis for Sustainable Development Goals.
IAOS-OECD Better Statistics for Better Lives.
(2018). Temporal modelling of dengue fever: A comprehensive literature review.
3rd International Conference on Mathematics, Sciences, Technology, Education and their application (ICSMTEA) in Conjunction with 1st International Symposium on Green Materials & Technology (ISGMT).
(2018). Comparing Spatio-Temporal models using CARBayes: An application to dengue fever in Makassar, Indonesia.
The joint international society for clinical Biostatistics and Australian Statistical Conference 2018.
(2018). Bayesian Empirical Likelihood Spatial Model applying Leroux structure.
International Conference on Bayesian Statistics in the Big Data Era Bayesian statistics in the era of Big Data .
(2018). The impact of covariates on the grouping structure of a Bayesian spatio-temporal localised model.
Australasian Applied Statistics Conference 2018.
(2018). Making More of Spatial Maps: A Bayesian meta-analysis approach.
Workshop on Young Bayesians and Big Data for Social Good.
(2018). Understanding Changes in Physiological State During Triathlon Cycling Using Hidden Markov Models.
ISBA World Meeting 2018.
(2018). The Australian Cancer Atlas: Models and Messages.
Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.
(2018). Bayesian spatio-temporal models using R-INLA.
ACEMS Retreat 2018.
(2018). Bayesian Variable Selection Regression Of Multivariate Responses For Group Data.
Bayesian Statistics in the Big Data Era.
(2018). Bayesian disease mapping in R.
UseR! 2018.
(2018). Comparison of different Bayesian spatio-temporal models using R packages.
UseR! .
(2018). A Review of Distances on Functional Datasets for Likelihood-Free Inference.
Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.
(2018). Making More of Spatial Maps: A Bayesian Meta-analysis approach.
ACEMS Students Retreat.
(2017). Probabilistic deconvolution of microarray data using a hierarchical Bayesian model.
Royal Statistical Society Conference 2017.
(2017). Bayesian Maths and Stats meets new technology.
ISI2017- 61st World Statistics Congress.
(2017). Using Earth Observation Data for Offcial Statistics.
4th UN Conference on Big Data.
(2017). Stumped? It Could be Stump Appendicitis (ePoster).
The Society for Pediatric Radiology 60th Annual Meeting and Categorical Course. s228–s228. doi: 10.1007/s00247-017-3809-x
(2017). Looking forward, back and sideways: the many directions of Bayesian forecasting.
International Symposium on Forecasting, Cairns, June 25-28, 2017.
(2017). Approximate Bayesian Computation for Dynamic Queueing Networks.
5th Symposium on Games and Decisions in Reliability and Risk.
(2017). Future Think.
Young Statisticians Conference 2017.
(2017). A new approach to small area cancer survival estimation.
Geomed 2017.
(2017). Looking forward, back and sideways: the many directions of Bayesian forecasting.
International Symposium on Forecasting, Cairns, June 25-28, 2017.
(2017). Spatio-temporal cortical brain patterns of Alzheimer's disease.
The International Biometric Society Australasian Region Conference.
(2017). Bayesian Maths and Stats meets new technology.
WIMSIG women-in-mathematical-sciences conference.
(2017). Efficient simulation of complex queueing systems with the R package queuecomputer.
French R meeting.
(2017). Spatio-temporal brain cortical patterns of Alzheimer's disease.
Bayes on the Beach.
(2017). Probabilistic Modelling in the real world.
International Conference for Machine Learning.
(2017). Bayesian spatial estimation when areas are few.
The international Biometric Society Australasian Region conference.
(2017). Probabilistic Modelling in the real world.
International Conference for Machine Learning.
(2017). Evaluating the impact of small number of areas on spatial estimation.
The Young Statistician Conference (YSC).
(2016). The Three Views of “I See”.
Big Data, Visualisation, Art and Science Festival 2016.
(2016). A principled experimental design approach to big data analysis.
International Conference for Mathematics and Statistics.
(2016). Elicitation of expert information for conservation.
The International Environmetrics Society.
(2016). Virtual reality for conservation.
International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
(2016). Combining new technology, big data, and maths and stats to fast track conservation.
Big Data and Visual Analytics.
(2016). Bayesian Variable Selection Regression Of Multivariate Responses For Group Data.
Australian Statistical Conference.
(2016). Appendiceal sonography in children: A retrospective analysis as a platform for potential implementation of diagnostic categories.
23rd Annual International Conference of the Australasian Sonographers Association. 37–46. doi: 10.1002/sono.12058
(2016). How to be Bayesian using informative priors to improve decision making.
2016 Forum Mathematics-for-Industry (FMfI) .
(2016). Building Bridges: New Bayesian Insights into Old Problems.
The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting.
(2016). The grumpy stump - ultrasound and stump appendicitis.
23rd Annual International Conference of the Australasian Sonographers Association. 52–53. doi: 10.1002/sono.12059
(2016). How to be Bayesian in the Big Data era.
Accelerated Data and Computing Workshop .
(2016). A principled experimental design approach to modelling and of big data analysis.
Spring Statistics Seminar Series.
(2016). Virtual reality for conservation.
Web3D 2016: 21st International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
(2016). Bayesian nonparametric dependent model for partially replicated data: The influence of fuel spills on species diversity.
Conference in Honour of Professor Peter Hall.
(2016). Priors and problems; using one to inform the other .
The International Environmetrics Society Conference.
(2016). Employing priors to learn about latent variable models.
International Society for Bayesian Analysis 2016.
(2016). Bayesian Approaches in Occupational Health Surveillance.
International Society for Bayesian Analysis.
(2015). Machine learning and visual analytics for consulting business decision support.
2015 Big Data Visual Analytics (BDVA). doi: 10.1109/BDVA.2015.7314299
(2015). Big data analytics as a tool to gain new insights.
eResearch Australasia 2015.
(2015). Immersive Mixed Reality environments as modern interactive visualisation platforms.
Bayes on the Beach.
Journal Articles
(Submitted). Identification and modelling of two-phase recovery in hard corals across the Great Barrier Reef.
Journal of Applied Ecology.
(2021). Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective.
Journal of the Royal Statistical Society: Series C (Applied Statistics). 70(1), 147 - 173. doi: 10.1111/rssc.12453
(2021). Kernelized Sparse Bayesian Matrix Factorization.
IEEE Transactions on Neural Networks and Learning Systems. 32(1), 391 - 404. doi: 10.1109/TNNLS.2020.2978761
(2020). Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic.
MedRxiv. doi: 10.1101/2020.04.30.20085662
(2020). Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach.
International Statistical Review. 88(2), 335-353. doi: 10.1111/insr.12350
(2020). Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Transactions on Signal Processing. 68, 3860 - 3870. doi: 10.1109/TSP.2020.3003120
(2020). Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling.
(Kwok, M. Ki, Ed.).PLOS ONE. 15(6), e0233542. doi: 10.1371/journal.pone.0233542
(2020). Augmenting disease maps: a Bayesian meta-analysis approach.
Royal Society Open Science. 7(8), 192151. doi: 10.1098/rsos.192151
(2020). Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data.
Journal of Big Data. 7(1), 55. doi: 10.1186/s40537-020-00331-8
(2020). Informing management decisions for ecological networks, using dynamic models calibrated to noisy time‐series data.
Ecology Letters. 23(4), 607-619. doi: 10.1111/ele.13465
(2020). Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration.
Statistics in Medicine. 39(21), 2695 - 2713. doi: 10.1002/sim.8568
(2020). Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model.
Bayesian Analysis. 15(1), 1-27. doi: 10.1214/18-BA1130
(2020). A stochastic model of jaguar abundance in the Peruvian Amazon under climate variation scenarios.
Ecology and Evolution. 10(19), 10829 - 10850. doi: 10.1002/ece3.6740
(2020). Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic.
BMC Public Health. 20, 1868. doi: 10.1186/s12889-020-09972-z
(2020). Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling.
Spatial and Spatio-temporal Epidemiology. 33, 100335. doi: 10.1016/j.sste.2020.100335
(2020). Detecting technical anomalies in high-frequency water-quality data using Artificial Neural Networks.
Environmental Science & Technology. 54(21), 13719-13730. doi: 10.1021/acs.est.0c04069
(2020). Bayesian spatial survival models for hospitalisation of dengue: A case study of Wahidin hospital in Makassar, Indonesia.
International Journal of Environmental Research and Public Health. 17(3), 878. doi: 10.3390/ijerph17030878
(2020). Forecasting intensifying disturbance effects on coral reefs.
Global Change Biology. 26(5), 2785 - 2797. doi: 10.1111/gcb.15059
(2020). Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef.
Environmental Modelling & Software. 124, 104557. doi: 10.1016/j.envsoft.2019.104557
(2019). Water quality mediates resilience on the Great Barrier Reef.
Nature Ecology & Evolution. 3(4), 620 - 627. doi: 10.1038/s41559-019-0832-3
(2019). Resurgence of Pertussis Infections in Shandong, China: Space-Time Cluster and Trend Analysis.
The American Journal of Tropical Medicine and Hygiene. 100(6), 1342 - 1354. doi: 10.4269/ajtmh.19-0013
(2019). A feature‐based procedure for detecting technical outliers in water‐quality data from in situ sensors.
Water Resources Research. 55(11), 8547-8568. doi: 10.1029/2019WR024906
(2019). Cell-type specific analysis of heterogeneous methylation signal using a Bayesian model-based approach.
bioRxiv. 682070. doi: 10.1101/682070
(2019). Analysing the dynamics and relative influence of variables affecting ecosystem responses using functional PCA and boosted regression trees: A seagrass case study.
Methods in Ecology and Evolution. 10(10), 1723 - 1733. doi: 10.1111/2041-210X.13269
(2019). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors.
Science of The Total Environment. 664, 885 - 898. doi: 10.1016/j.scitotenv.2019.02.085
(2019). Evaluating health facility access using Bayesian spatial models and location analysis methods.
(Shah, T. Ikram, Ed.).PLOS ONE. 14(8), e0218310. doi: 10.1371/journal.pone.0218310
(2019). Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data.
Journal of Big Data. 6(1), 29. doi: 10.1186/s40537-019-0188-1
(2019). Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review.
Epidemiology & Infection. 147, e33. doi: 10.1017/S0950268818002807
(2019). Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein’s Unbiased Risk Estimator.
IEEE Transactions on Image Processing. 28(10), 4899 - 4911. doi: 10.1109/TIP.2019.2912292
(2019). Predicting sediment and nutrient concentrations from high-frequency water-quality data.
PLOS ONE. 14(8), e0215503. doi: 10.1371/journal.pone.0215503
(2019). Application of ensemble methods to analyse the decline of organochlorine pesticides in relation to the interactions between age, gender and time.
(Garrett, T. J., Ed.).PLOS ONE. 14(11), e0223956. doi: 10.1371/journal.pone.0223956
(2019). Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach.
Sensors. 19(2), 361. doi: 10.3390/s19020361
(2019). Predicting fatigue using countermovement jump force-time signatures: PCA can distinguish neuromuscular versus metabolic fatigue.
PLoS ONE. 14(7), e0219295. doi: 10.1371/journal.pone.0219295
(2019). A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images.
Remote Sensing. 11(15), 1796. doi: 10.3390/rs11151796
(2019). [HDDA] sparse subspace constrained partial least squares.
Journal of Statistical Computation and Simulation. 89(6), 1005-1019. doi: 10.1080/00949655.2018.1555830
(2019). Genome-wide allele-specific methylation is enriched at gene regulatory regions in a multi-generation pedigree from the Norfolk Island isolate.
Epigenetics & Chromatin. 12, 60. doi: 10.1186/s13072-019-0304-7
(2019). Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates.
International Journal of Health Geographics. 18(1), 21. doi: 10.1186/s12942-019-0185-9
(2019). Bayesian statistics meets sports: a comprehensive review.
Journal of Quantitative Analysis in Sports. 15(4), 289 - 312. doi: 10.1515/jqas-2018-0106
(2018). Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review.
Remote Sensing. 10(9), 1365. doi: 10.3390/rs10091365
(2018). Critical evaluation of linear regression models for cell-subtype specific methylation signal from mixed blood cell DNA.
(Tost, J., Ed.).PLOS ONE. 13(12), e0208915. doi: 10.1371/journal.pone.0208915
(2018). An image‐guided radiotherapy decision support framework incorporating a Bayesian network and visualization tool.
Medical Physics. 45(7), 2884 - 2897. doi: 10.1002/mp.12979
(2018). Convergence of marine megafauna movement patterns in coastal and open oceans.
Proceedings of the National Academy of Sciences. 115(12), 3072-3077. doi: 10.1073/pnas.1716137115
(2018). Using virtual reality to estimate aesthetic values of coral reefs.
Royal Society Open Science. 5(4), 172226. doi: 10.1098/rsos.172226
(2018). A feature alignment score for online cone‐beam.
Medical Physics. 45(7), 2898 - 2911. doi: 10.1002/mp.12980
(2018). Managing seagrass resilience under cumulative dredging affecting light: Predicting risk using dynamic Bayesian networks.
Journal of Applied Ecology. 55(3), 1339-1350. doi: 10.1111/1365-2664.13037
(2018). Transferring biodiversity models for conservation: Opportunities and challenges.
(McPherson, J., Ed.).Methods in Ecology and Evolution. 9(5), 1250-1264. doi: 10.1111/2041-210X.12998
(2018). Fuzzy Entropy and Its Application for Enhanced Subspace Filtering.
IEEE Transactions on Fuzzy Systems. 26(4), 1970 - 1982. doi: 10.1109/TFUZZ.2017.2756829
(2018). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors.
arXiv preprints.
(2018). Approximation of Bayesian Predictive p -Values with Regression ABC.
Bayesian Analysis. 13(1), 59 - 83. doi: 10.1214/16-BA1033
(2018). AGE DEPENDENT BAYESIAN NETWORKS REVEAL SPATIO-TEMPORAL PATTERNS OF NEURODEGENERATION IN HEALTHY AGEING AND ALZHEIMER’S DISEASE.
Alzheimer's & Dementia. 14(7), P1228. doi: 10.1016/j.jalz.2018.06.1727
(2018). Dynamic Bayesian network inferencing for non-homogeneous complex systems.
Journal of the Royal Statistical Society: Series C (Applied Statistics). 67(2), 417-434. doi: 10.1111/rssc.12228
(2018). Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees.
Remote Sensing. 10(8), 1260. doi: 10.3390/rs10081260
(2018). Using History Matching for Prior Choice.
Technometrics. 60(4), 445 - 460. doi: 10.1080/00401706.2017.1421587
(2018). An efficient algorithm for estimating brain covariance networks.
PLOS ONE. 13(7), e0198583. doi: 10.1371/journal.pone.0198583
(2017). Modelling imperfect presence data obtained by citizen science.
Environmetrics. 28(5), e2446. doi: 10.1002/env.2446
(2017). Concentrations of organochlorine pesticides in pooled human serum by age and gender.
Environmental Research. 154, 10-18. doi: 10.1016/j.envres.2016.12.009
(2017). Crown-of-thorns starfish undermine the resilience of coral populations on the Great Barrier Reef.
Global Ecology and Biogeography. 26(7), 846 - 853. doi: 10.1111/geb.12590
(2017). Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef.
Ecological Modelling. 364, 113 - 123. doi: 10.1016/j.ecolmodel.2017.09.006
(2017). Influence of demographic variables on uptake of domestic solar photovoltaic technology.
Renewable and Sustainable Energy Reviews. 67, 315–323. doi: 10.1016/j.rser.2016.09.009
(2017). Spatial variation in cancer incidence and survival over time across Queensland, Australia.
Spatial and Spatio-temporal Epidemiology. 23, 59 - 67. doi: 10.1016/j.sste.2017.09.002
(2017). Using Boosted Regression Trees and Remotely Sensed Data to Drive Decision-Making.
Open Journal of Statistics. 07(05), 859 - 875. doi: 10.4236/ojs.2017.75061
(2017). Improved Coral Population Estimation Reveals Trends at Multiple Scales on Australia’s Great Barrier Reef.
Ecosystems. 20(7), 1337 - 1350. doi: 10.1007/s10021-017-0115-2
(2017). Bayesian Variable Selection Regression of Multivariate Responses for Group Data.
Bayesian Analysis. 12(4), 1039 - 1067. doi: 10.1214/17-BA1081
(2017). Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora.
PeerJ. 5, e3438. doi: 10.7717/peerj.3438
(2017). Effects of dredging on critical ecological processes for marine invertebrates, seagrasses and macroalgae, and the potential for management with environmental windows using Western Australia as a case study.
Ecological Indicators. 78, 229 - 242. doi: 10.1016/j.ecolind.2017.03.026
(2017). A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE.
Spatial Statistics. 21, 27 - 41. doi: 10.1016/j.spasta.2017.04.006
(2017). Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm.
PLoS ONE. 12, Article number: e0182455. doi: 10.1371/journal.pone.0182455
(2017). Joint modelling of potentially avoidable hospitalisation for five diseases accounting for spatiotemporal effects: A case study in New South Wales, Australia.
(Ali, M., Ed.).PLOS ONE. 12(8), e0183653. doi: 10.1371/journal.pone.0183653
(2017). Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.
BMJ Open. 7(2), 12174-12174. doi: 10.1136/bmjopen-2016-012174
(2017). Principles of Experimental Design for Big Data Analysis.
Statistical Science. 32(3), 385 - 404. doi: 10.1214/16-STS604
(2017). Monitoring pertussis infections using internet search queries.
Scientific Reports. 7, Article number–10437. doi: 10.1038/s41598-017-11195-z
(2017). Accurate phenotyping: Reconciling approaches through Bayesian model averaging.
PLoS ONE. 12(4), e0176136. doi: 10.1371/journal.pone.0176136
(2017). Environmental decision-making using Bayesian networks: Creating an environmental report card.
Applied Stochastic Models in Business and Industry. doi: 10.1002/asmb.2190
(2017). Timing anthropogenic stressors to mitigate their impact on marine ecosystem resilience.
Nature Communications. 8(1), doi: 10.1038/s41467-017-01306-9
(2016). Lowering of intraocular pressure after phacoemulsification in primary open-angle and angle-closure glaucoma.
Asia-Pacific Journal of Ophthalmology. 5(1), 79-84. doi: 10.1097/APO.0000000000000174
(2016). A flexible parametric approach to examining spatial variation in relative survival.
Statistics in Medicine. 35(29), 5448-5463. doi: 10.1002/sim.7071
(2016). Symplectic geometry spectrum regression for prediction of noisy time series.
Physical Review E. 93(5), doi: 10.1103/PhysRevE.93.052217
(2016). Bayesian estimation of the dynamics of pandemic (H1N1) 2009 influenza transmission in Queensland: A space–time SIR-based model.
Environmental Research. 146, 308–314. doi: 10.1016/j.envres.2016.01.013
(2016). Unmanned Aerial Vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation.
Sensors. 16(1), doi: 10.3390/s16010097
(2016). Sonographic diagnosis of acute appendicitis in children: A 3-year retrospective.
Sonography. 3(3), 87-94. doi: 10.1002/sono.12068
(2016). Association between location of laser iridotomy and frequency of visual symptoms: a Bayesian learning analysis.
Clinical & Experimental Ophthalmology. 44(3), 215-217. doi: 10.1111/ceo.12667
(2016). A generalized QMRA beta-Poisson dose-response model.
Risk Analysis. 36(10), 1948-1958. doi: 10.1111/risa.12561
(2016). Bayesian nonparametric dependent model for partially replicated data: The influence of fuel spills on species diversity.
The Annals of Applied Statistics. 10(3), 1496 - 1516. doi: 10.1214/16-AOAS944
(2016). Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation.
BMJ Open. 6(5), doi: 10.1136/bmjopen-2015-010253
(2016). Bayesian adaptive design: Improving the effectiveness of monitoring of the Great Barrier Reef.
Ecological Applications. 26(8), 2637-2648. doi: 10.1002/eap.1409
(2016). Bayesian estimation of small effects in exercise and sports science.
PLOS ONE. 11(4), 1-23. doi: 10.1371/journal.pone.0147311
(2016). Stumped? It could be stump appendicitis.
Sonography. doi: 10.1002/sono.12098
(2016). Predicting health programme participation: A gravity-based, hierarchical modelling approach.
Journal of the Royal Statistical Society: Series C (Applied Statistics). 65(1), 145-166. doi: 10.1111/rssc.12111
(2016). Utility of Bayesian networks in QMRA-based evaluation of risk reduction options for recycled water.
Science of The Total Environment. 541, 1393-1409. doi: 10.1016/j.scitotenv.2015.10.030
(2016). Ultrasound of paediatric appendicitis and its secondary sonographic signs: Providing a more meaningful finding.
Journal of Medical Radiation Sciences. 63(1), 59-66. doi: 10.1002/jmrs.154
(2016). Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data.
Geospatial Health. 11(2), doi: 10.4081/gh.2016.428
(2016). Spatially varying coefficient inequalities: Evaluating how the impact of patient characteristics on breast cancer survival varies by location.
PLOS ONE. 11(5), doi: 10.1371/journal.pone.0155086
(2016). Rising floodwaters: Mapping impacts and perceptions of flooding in Indonesian Borneo.
Environmental Research Letters. 11(6), doi: 10.1088/1748-9326/11/6/064016
(2016). Bayesian methods for comparing species physiological and ecological response curves.
Ecological Informatics. 34, 35-43. doi: 10.1016/j.ecoinf.2016.03.001
(2016). On the (virtual) getting of wisdom: Immersive 3D interfaces for eliciting spatial information from experts.
Spatial Statistics. 18(Part A), 318-331. doi: 10.1016/j.spasta.2016.07.001
(2016). Spatio-temporal relative survival of breast and colorectal cancer in Queensland, Australia 2001–2011.
Spatial and Spatio-temporal Epidemiology. 19, 103-114. doi: 10.1016/j.sste.2016.08.002
(2016). Automated replication of cone beam CT-guided treatments in the Pinnacle treatment planning system for adaptive radiotherapy.
Journal of Medical Radiation Sciences. 63(1), 48-58. doi: 10.1002/jmrs.141
(2016). Consensus priors for multinomial and binomial ratios.
Journal of Statistical Theory and Practice. 10(4), 736-754. doi: 10.1080/15598608.2016.1219684
(2016). Ultrahigh dimensional variable selection for interpolation of point referenced spatial data: A digital soil mapping case study.
PLOS ONE. 11(9), doi: 10.1371/journal.pone.0162489
(2015). Characterising Uncertainty in Expert Assessments: Encoding Heavily Skewed Judgements.
PLOS ONE. 10(10), doi: 10.1371/journal.pone.0141697
(2015). A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data.
Communications in Statistics - Simulation and Computation. 45(8), 2947-2964. doi: 10.1080/03610918.2014.936467
(2015). Multifaceted Modelling of Complex Business Enterprises.
PLOS ONE. 10(8), doi: 10.1371/journal.pone.0134052
(2015). Species Richness on Coral Reefs and the Pursuit of Convergent Global Estimates.
Current Biology. 25(4), 500-505. doi: 10.1016/j.cub.2014.12.022
(2015). Weather variability and influenza A (H7N9) transmission in Shanghai, China: A Bayesian spatial analysis.
Environmental Research. 136, 405-412. doi: 10.1016/j.envres.2014.07.033
(2015). Case Studies in Bayesian Statistical Modelling and Analysis.
The Quarterly Review of Biology. 90(3), 319 - 320. doi: 10.1086/682596
(2015). Spatial modelling of type II diabetes outcomes: a systematic review of approaches used.
Royal Society Open Science. 2(6), 140460. doi: 10.1098/rsos.140460
(2015). Meta-analysis of variation: ecological and evolutionary applications and beyond.
Methods in Ecology and Evolution. 6(2), 143-152. doi: 10.1111/2041-210X.12309
(2015). A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand.
PLOS ONE. 10(3), doi: 10.1371/journal.pone.0121195
(2015). A framework for model integration and holistic modelling of socio-technical systems.
Decision Support Systems. 71, 14-27. doi: 10.1016/j.dss.2015.01.006
(2015). Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling.
Environmental and Ecological Statistics. 22(3), 571-600. doi: 10.1007/s10651-015-0311-1
(2015). Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland.
BMC Public Health. 15(1), doi: 10.1186/s12889-015-2527-2
(2015). An external field prior for the hidden Potts model with application to cone-beam computed tomography.
Computational Statistics & Data Analysis. 86, 27-41. doi: 10.1016/j.csda.2014.12.001
(2015). Predicting the need for adaptive radiotherapy in head and neck cancer.
Radiotherapy and Oncology. 116(1), 57-63. doi: 10.1016/j.radonc.2015.06.025
(2015). Overfitting Bayesian Mixture Models with an Unknown Number of Components.
PLOS ONE. 10(7), doi: 10.1371/journal.pone.0131739
(2015). A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset.
PLOS ONE. 10(10), doi: 10.1371/journal.pone.0141120
(2015). Calculating radiotherapy margins based on Bayesian modelling of patient specific random errors.
Physics in Medicine and Biology. 60(5), 1793-1805. doi: 10.1088/0031-9155/60/5/1793
(2015). The potential for meta-analysis to support decision analysis in ecology.
Research Synthesis Methods. 6(2), 111-121. doi: 10.1002/jrsm.1105
(2015). Modelling microbial health risk of wastewater reuse: A systems perspective.
Environment International. 84, 131-141. doi: 10.1016/j.envint.2015.08.001
(2015). Looking deeper than (just) below the surface.
Clinical & Experimental Ophthalmology. 43(5), 492-493. doi: 10.1111/ceo.12404
(2015). Sparing Healthy Tissue and Increasing Tumor Dose Using Bayesian Modeling of Geometric Uncertainties for Planning Target Volume Personalization.
International Journal of Radiation Oncology*Biology*Physics. 92(2), 446-452. doi: 10.1016/j.ijrobp.2015.01.034
(2015). Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil.
Ecology and Evolution. 5(13), 2633-2645. doi: 10.1002/ece3.1493
(2015). Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand.
PLOS ONE. 10(7), doi: 10.1371/journal.pone.0134086
(2015). Beyond QMRA: Modelling microbial health risk as a complex system using Bayesian networks.
Environment International. 80, 8-18. doi: 10.1016/j.envint.2015.03.013
(2015). Bayesian hierarchical models for analysing spatial point-based data at a grid level: A comparison of approaches.
Environmental and Ecological Statistics. 2, 297–327. doi: 10.1007/s10651-014-0299-y
(2015). Processing passengers efficiently: An analysis of airport processing times for international passengers.
Journal of Air Transport Management. 49, 35-45. doi: 10.1016/j.jairtraman.2015.06.016
(2015). Does geographic location impact the survival differential between screen- and interval-detected breast cancers?.
Stochastic Environmental Research and Risk Assessment. 30(1), 155-165. doi: 10.1007/s00477-015-1050-4
(2015). Inferring lung cancer risk factor patterns through joint Bayesian spatio-temporal analysis.
Cancer Epidemiology. 39(3), 430-439. doi: 10.1016/j.canep.2015.03.001
(2015). Mapping perceptions of species' threats and population trends to inform conservation efforts: the Bornean orangutan case study.
Diversity and Distributions. 21(5), 487-499. doi: 10.1111/ddi.12286
(2015). A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models.
Australian & New Zealand Journal of Statistics. 57(3), 325-345. doi: 10.1111/anzs.12127
(2015). Impacts of El Niño Southern Oscillation and Indian Ocean Dipole on dengue incidence in Bangladesh.
Scientific Reports. 5, 16105. doi: 10.1038/srep16105
(2014). Projecting Future Transmission of Malaria Under Climate Change Scenarios: Challenges and Research Needs.
Critical Reviews in Environmental Science and Technology. 45(7), 777-811. doi: 10.1080/10643389.2013.852392
(2014). A Hybrid Queue-based Bayesian Network framework for passenger facilitation modelling.
Transportation Research Part C: Emerging Technologies. 46, 247-260. doi: 10.1016/j.trc.2014.05.005
(2014). Viewing systematic reviews and meta-analysis in social research through different lenses.
SpringerPlus. 3(1), 511. doi: 10.1186/2193-1801-3-511
(2014). Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover.
PLOS ONE. 9(11), doi: 10.1371/journal.pone.0110968
(2014). Generalizing the use of geographical weights in biodiversity modelling.
Global Ecology and Biogeography. 23(11), 1314-1323. doi: 10.1111/geb.12203
(2014). Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study : assessing the viability and sustainability of the dairy industry.
Journal of Environmental Management. 133, 184–192. doi: 10.1016/j.jenvman.2013.12.013
(2014). Pre-processing for approximate Bayesian computation in image analysis.
Statistics and Computing. 25(1), 23-33. doi: 10.1007/s11222-014-9525-6
Publicly available softwares
(2017). queuecomputer.
Technical reports and unrefereed outputs
(Submitted). Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.
(Submitted). Cell-type specific analysis of heterogeneous methylation signal using a Bayesian model-based approach.
(2019). Executive Summary of the Benchmarking Project.
(2019). DARPA dengue project.
(2019). Clustering and Peer grouping DEX organisations.
(2018). Australian Cancer Atlas: small-area incidence technical report.
(2016). Review and redesign of the national bee pest surveilance program.
(2016). Monitoring Through Many Eyes:Spatially enabling people to protect the Great Barrier Reef.
(2016). Dashboard project for Australian Agricutural Company.
(2016). Communicating Statistical Outputs Through Health Maps.
(2016). Estimation of Meat Quality indicators from photos.
(2016). Spatial Modelling Methods.
(2016). Provision of statistical support during the development of the Gladstone Harbour report card.
(2016). Grey Literature Review: Internet Published Cancer Maps.
(2016). Statistical review and update of detection surveilance systems for non indigenous species of terrestial plants vertebrates and invertebrates on Barrow Island.
(2016). Evaluating linear regression routines for deconvolution of methylation signal from whole blood.
