Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry. - Paula E. Macrossan; Hussein A. Abbass; Kerrie L. Mengersen; Michael Towsey; Gerard D. Finn (IDA, 1999)

Supporting statistics in the workplace: experiences with two hospitals. - Miranda Y. Mortlock; Nancy Spencer; Kerrie L. Mengersen (Adv. Decis. Sci., 2003)

Considering ethnicity in teaching and learning statistics: should I worry about where my students come from? - Darfiana Nur; Kerrie L. Mengersen (Adv. Decis. Sci., 2003)

Reservicing some customers in M/G/1 queues under three disciplines. - Mohammad Reza Salehi Rad; Kerrie L. Mengersen; Gholam Hossain Shahkar (Int. J. Math. Math. Sci., 2004)

Bayesian Modelling for Machine Learning. - Kerrie L. Mengersen; Paul Rippon (Encyclopedia of Information Science and Technology (I), 2005)

Bayesian estimation ofg-and-k distributions using MCMC. - Michele Haynes; Kerrie L. Mengersen (Comput. Stat., 2005)

Classification based upon gene expression data: bias and precision of error rates. - Ian A. Wood; Peter M. Visscher; Kerrie L. Mengersen (Bioinform., 2007)

Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images. - Clair L. Alston; Kerrie L. Mengersen; Christian P. Robert; J. M. Thompson; P. J. Littlefield; D. Perry; A. J. Ball (Comput. Stat. Data Anal., 2007)

Semiparametric Bayesian circular statistics. - Ross McVinish; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2008)

Generalized Control Charts for Non-Normal Data Using g-and-k Distributions. - Michele Haynes; Kerrie L. Mengersen; Paul Rippon (Commun. Stat. Simul. Comput., 2008)

Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. - Darfiana Nur; David Allingham; Judith Rousseau; Kerrie L. Mengersen; Ross McVinish (Comput. Stat. Data Anal., 2009)

Efficient Bayesian estimation of multivariate state space models. - Chris M. Strickland; Ian W. Turner; Robert Denham; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2009)

Bayesian estimation of quantile distributions. - David Allingham; Robert A. R. King; Kerrie L. Mengersen (Stat. Comput., 2009)

Allowing for the effect of data binning in a Bayesian Normal mixture model. - Clair L. Alston; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2010)

Elicitator: An expert elicitation tool for regression in ecology. - Allan R. James; Samantha Low Choy; Kerrie L. Mengersen (Environ. Model. Softw., 2010)

A Bayesian analysis of an agricultural field trial with three spatial dimensions. - Margaret Donald; Clair L. Alston; Rick R. Young; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2011)

Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. - Carla C. M. Chen; Holger Schwender; Jonathan M. Keith; Robin Nunkesser; Kerrie L. Mengersen; Paula E. Macrossan (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

In praise of the referee - Nicolas Chopin; Andrew Gelman; Kerrie L. Mengersen; Christian P. Robert (CoRR, 2012)

A software tool for elicitation of expert knowledge about species richness or similar counts. - Rebecca Fisher; Rebecca A. O'Leary; Samantha Low Choy; Kerrie L. Mengersen; M. Julian Caley (Environ. Model. Softw., 2012)

A proposed validation framework for expert elicited Bayesian Networks. - Jegar Pitchforth; Kerrie L. Mengersen (Expert Syst. Appl., 2013)

Applying a validation framework to a working airport terminal model. - Jegar Pitchforth; Paul Pao-Yen Wu; Kerrie L. Mengersen (Expert Syst. Appl., 2014)

Machine Learning and Visual Analytics for Consulting Business Decision Support. - Amy Cook; Paul Pao-Yen Wu; Kerrie L. Mengersen (BDVA, 2015)

An external field prior for the hidden Potts model with application to cone-beam computed tomography. - Matthew T. Moores; Catriona E. Hargrave; Timothy Deegan; Michael Poulsen; Fiona Harden; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2015)

A framework for model integration and holistic modelling of socio-technical systems. - Paul Pao-Yen Wu; Clinton Fookes; Jegar Pitchforth; Kerrie L. Mengersen (Decis. Support Syst., 2015)

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

Virtual reality for conservation. - Tomasz Bednarz; June Kim; Ross Brown 001; Allan R. James; Kevin Burrage; Samuel Clifford; Jacqueline Davis; Kerrie L. Mengersen; Erin E. Peterson; Steven Psaltis; Julie Vercelloni (Web3D, 2016)

A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data. - Alan Herschtal; Farshad Foroudi; Tomas Kron; Kerrie L. Mengersen (Commun. Stat. Simul. Comput., 2016)

A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport. - Subrata Chakraborty; Kerrie L. Mengersen; Colin J. Fidge; Lin Ma; David Lassen (Decis. Anal., 2016)

Bayesian methods for comparing species physiological and ecological response curves. - Michael B. Ashcroft; Angélica Casanova-Katny; Kerrie L. Mengersen; Todd N. Rosenstiel; Johanna D. Turnbull; Jane Wasley; Melinda J. Waterman; Gustavo E. Zúñiga; Sharon A. Robinson (Ecol. Informatics, 2016)

Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. - Felipe Gonzalez; Glen A. Montes; Eduard Puig; Sandra Johnson; Kerrie L. Mengersen; Kevin J. Gaston (Sensors, 2016)

Potential of Bayesian networks for adaptive management in water recycling. - Denise Beaudequin; Fiona Harden; Anne Roiko; Kerrie L. Mengersen (Environ. Model. Softw., 2017)

Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model. - Charisse Farr; Fabrizio Ruggeri 001; Kerrie L. Mengersen (Entropy, 2018)

Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees. - Brigitte Colin; Michael Schmidt 012; Samuel Clifford; Alan Woodley; Kerrie L. Mengersen (Remote. Sens., 2018)

Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review. - Jacinta Holloway; Kerrie L. Mengersen (Remote. Sens., 2018)

UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. - Juan Sandino; Felipe Gonzalez; Kerrie L. Mengersen; Kevin J. Gaston (Sensors, 2018)

Using History Matching for Prior Choice. - Xueou Wang; David J. Nott; Christopher C. Drovandi; Kerrie L. Mengersen; Michael Evans (Technometrics, 2018)

Fuzzy Entropy and Its Application for Enhanced Subspace Filtering. - Hong-Bo Xie; Bellie Sivakumar; Tjeerd W. Boonstra; Kerrie L. Mengersen (IEEE Trans. Fuzzy Syst., 2018)

Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. - Hong-Bo Xie; Caoyuan Li; Richard Yi Da Xu; Kerrie L. Mengersen (LOD, 2019)

Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data. - Insha Ullah; Kerrie L. Mengersen (J. Big Data, 2019)

A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images. - Jacinta Holloway; Kate J. Helmstedt; Kerrie L. Mengersen; Michael Schmidt 012 (Remote. Sens., 2019)

Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach. - Brigitte Colin; Kerrie L. Mengersen (Sensors, 2019)

Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. - Caoyuan Li; Hong-Bo Xie; Xuhui Fan 001; Richard Yi Da Xu; Sabine Van Huffel; Scott A. Sisson; Kerrie L. Mengersen (IEEE Trans. Image Process., 2019)

Nonparametric Bayesian Nonnegative Matrix Factorization. - Hong-Bo Xie; Caoyuan Li; Kerrie L. Mengersen; Shuliang Wang 001; Richard Yi Da Xu (MDAI, 2020)

MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values. - Shovanur Haque; Kerrie L. Mengersen (CoRR, 2020)

Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage. - Shovanur Haque; Kerrie L. Mengersen (CoRR, 2020)

Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef. - Erin E. Peterson; Edgar Santos-Fernández; Carla C. M. Chen; Samuel Clifford; Julie Vercelloni; Alan Pearse; Ross Brown 001; Bryce Christensen; Allan R. James; Ken Anthony; Jennifer Loder; Manuel González-Rivero; et al. (Environ. Model. Softw., 2020)

Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data. - Jacinta Holloway; Kate J. Helmstedt; Kerrie L. Mengersen (J. Big Data, 2020)

Computationally Efficient Simulation of Queues: The R Package queuecomputer. - Anthony Ebert; Paul Pao-Yen Wu; Kerrie L. Mengersen; Fabrizio Ruggeri 001 (J. Stat. Softw., 2020)

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. - Abhishek Varghese; Christopher C. Drovandi; Antonietta Mira; Kerrie L. Mengersen (PLoS Comput. Biol., 2020)

Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. - Caoyuan Li; Hong-Bo Xie; Kerrie L. Mengersen; Xuhui Fan 001; Richard Yi Da Xu; Scott A. Sisson; Sabine Van Huffel (IEEE Trans. Signal Process., 2020)

A Bayesian social platform for inclusive and evidence-based decision making. - Susannah Kate Devitt; Tamara Rose Pearce; Alok Kumar Chowdhury; Kerrie L. Mengersen (CoRR, 2021)

Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. - Insha Ullah; Kerrie L. Mengersen; Rob J. Hyndman; James M. McGree (CoRR, 2021)

A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty. - Letitia Sabburg; Alan Woodley; Kerrie L. Mengersen (CoRR, 2021)

Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach. - Shovanur Haque; Kerrie L. Mengersen; Steven E. Stern (J. Big Data, 2021)

Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R. - Julie Vercelloni; Jon Peppinck; Edgar Santos-Fernández; Miles McBain; Grace Heron; Tanya Dodgen; Erin E. Peterson; Kerrie L. Mengersen (PeerJ Comput. Sci., 2021)

Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers. - Teo Nguyen; Benoît Liquet; Kerrie L. Mengersen; Damien Sous (Remote. Sens., 2021)

Kernelized Sparse Bayesian Matrix Factorization. - Caoyuan Li; Hong-Bo Xie; Xuhui Fan 001; Richard Yi Da Xu; Sabine Van Huffel; Kerrie L. Mengersen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Stateful to Stateless: Modelling Stateless Ethereum. - Sandra Johnson; David Hyland-Wood; Anders L. Madsen; Kerrie L. Mengersen (MARS@ETAPS, 2022)

Bayesian spatio-temporal models for stream networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; Erin E. Peterson; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen (Comput. Stat. Data Anal., 2022)

A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control. - Hong-Bo Xie; Kerrie L. Mengersen; Changan Di; Yongjian Zhang; Justin Lipman; Sabine Van Huffel (IEEE Trans. Hum. Mach. Syst., 2022)

Piecewise Deterministic Markov Processes for Bayesian Neural Networks. - Ethan Goan; Dimitri Perrin; Kerrie L. Mengersen; Clinton Fookes (UAI, 2023)

A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. - Hong-Bo Xie; Caoyuan Li; Shuliang Wang 001; Richard Yi Da Xu; Kerrie L. Mengersen (CoRR, 2023)

Federated Variational Inference Methods for Structured Latent Variable Models. - Conor Hassan; Robert Salomone; Kerrie L. Mengersen (CoRR, 2023)

Graph Neural Network-Based Anomaly Detection for River Network Systems. - Katie Buchhorn; Edgar Santos-Fernández; Kerrie L. Mengersen; Robert Salomone (CoRR, 2023)

Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia. - wala Draidi Areed; Aiden Price; Kathryn Arnett; M. Helen Thompson; Reid Malseed; Kerrie L. Mengersen (CoRR, 2023)

Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis. - Conor Hassan; Robert Salomone; Kerrie L. Mengersen (CoRR, 2023)

Optimal partitioning of directed acyclic graphs with dependent costs between clusters. - Paul Pao-Yen Wu; Fabrizio Rggeri; Kerrie L. Mengersen (CoRR, 2023)

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. - Thirunavukarasu Balasubramaniam; David J. Warne; Richi Nayak; Kerrie L. Mengersen (Int. J. Data Sci. Anal., 2023)

SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. - Edgar Santos-Fernández; Jay M. Ver Hoef; James M. McGree; Daniel J. Isaak; Kerrie L. Mengersen; Erin E. Peterson (R J., 2023)

Guidelines for the Creation of Analysis Ready Data. - Harriette Phillips; Aiden Price; Owen Forbes; Claire Boulange; Kerrie L. Mengersen; Marketa Reeves; Rebecca Glauert (CoRR, 2024)

Proposer selection in EIP-7251. - Sandra Johnson; Kerrie L. Mengersen; Patrick O'Callaghan; Anders L. Madsen (CoRR, 2024)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. - Conor Hassan; Matthew Sutton; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. - Conor Hassan; Joshua J. Bon; Elizaveta Semenova; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences. - Sarah Goodwin; Thom Saunders; Joanne Aitken; Peter Baade; Upeksha Chandrasiri; Dianne Cook; Susanna M. Cramb; Earl Duncan; Stephanie Kobakian; Jessie Roberts; Kerrie L. Mengersen (J. Am. Medical Informatics Assoc., 2024)

Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data. - Becki Cook; Stephen Corporal; Jarryd Aleckson; Renee Blackman; Glenn Kefford; David R. Lovell; Kerrie L. Mengersen (J. Community Informatics, 2024)

Perlin noise generation of physiologically realistic cardiac fibrosis. - Brodie A. J. Lawson; Christopher C. Drovandi; Pamela M. Burrage; Alfonso Bueno-Orovio; Rodrigo Weber dos Santos; Blanca Rodríguez; Kerrie L. Mengersen; Kevin Burrage (Medical Image Anal., 2024)

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions. - Adriana Eufrosina Bora; Akshatha Arodi; Duoyi Zhang; Jordan Bannister; Mirko Bronzi; Arsène Fansi Tchango; Md. Abul Bashar; Richi Nayak; Kerrie L. Mengersen (ACL (1), 2025)

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements. - Adriana Eufrosina Bora; Pierre-Luc St-Charles; Mirko Bronzi; Arsène Fansi Tchango; Bruno Rousseau; Kerrie L. Mengersen (ICLR, 2025)

Bayesian design for sampling anomalous spatio-temporal data. - Katie Buchhorn; Kerrie L. Mengersen; Edgar Santos-Fernández; James M. McGree (Stat. Comput., 2025)

Sports Injury is Self-exciting: Modelling AFL Injuries Using Hawkes Processes. - John Worrall; Paul Pao-Yen Wu; Liam A. Toohey; Kerrie L. Mengersen (SN Comput. Sci., 2025)