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2020 – today
- 2024
[j51]Becki Cook
, Stephen Corporal, Jarryd Aleckson, Renee Blackman, Glenn Kefford, David R. Lovell, Kerrie L. Mengersen:
Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data. J. Community Informatics 20(1) (2024)- [j50]Brodie A. J. Lawson, Christopher C. Drovandi, Pamela M. Burrage, Alfonso Bueno-Orovio, Rodrigo Weber dos Santos, Blanca Rodríguez, Kerrie L. Mengersen, Kevin Burrage:
Perlin noise generation of physiologically realistic cardiac fibrosis. Medical Image Anal. 98: 103240 (2024) - [i17]Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie L. Mengersen, Marketa Reeves, Rebecca Glauert:
Guidelines for the Creation of Analysis Ready Data. CoRR abs/2403.08127 (2024) - [i16]Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen:
Proposer selection in EIP-7251. CoRR abs/2404.12657 (2024) - [i15]Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen:
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. CoRR abs/2405.04043 (2024) - [i14]Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen:
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR abs/2405.16055 (2024) - 2023
- [j49]Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen:
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. Int. J. Data Sci. Anal. 15(3): 267-280 (2023) - [j48]Edgar Santos-Fernández, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen, Erin E. Peterson:
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. R J. 15(3): 26-58 (2023) - [c7]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. UAI 2023: 712-722 - [i13]Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen:
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. CoRR abs/2301.07272 (2023) - [i12]Conor Hassan, Robert Salomone, Kerrie L. Mengersen:
Federated Variational Inference Methods for Structured Latent Variable Models. CoRR abs/2302.03314 (2023) - [i11]Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes:
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. CoRR abs/2302.08724 (2023) - [i10]Katie Buchhorn, Edgar Santos-Fernández, Kerrie L. Mengersen, Robert Salomone:
Graph Neural Network-Based Anomaly Detection for River Network Systems. CoRR abs/2304.09367 (2023) - [i9]wala Draidi Areed, Aiden Price, Kathryn Arnett, M. Helen Thompson, Reid Malseed, Kerrie L. Mengersen:
Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia. CoRR abs/2305.15746 (2023) - [i8]Conor Hassan, Robert Salomone, Kerrie L. Mengersen:
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis. CoRR abs/2307.15424 (2023) - [i7]Paul Pao-Yen Wu, Fabrizio Rggeri, Kerrie L. Mengersen:
Optimal partitioning of directed acyclic graphs with dependent costs between clusters. CoRR abs/2308.03970 (2023) - 2022
- [j47]Edgar Santos-Fernández, Jay M. Ver Hoef, Erin E. Peterson, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen:
Bayesian spatio-temporal models for stream networks. Comput. Stat. Data Anal. 170: 107446 (2022) - [j46]Hong-Bo Xie, Kerrie L. Mengersen, Changan Di, Yongjian Zhang, Justin Lipman, Sabine Van Huffel:
A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control. IEEE Trans. Hum. Mach. Syst. 52(6): 1258-1270 (2022) - [c6]Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen:
Stateful to Stateless: Modelling Stateless Ethereum. MARS@ETAPS 2022: 27-39 - 2021
- [j45]Shovanur Haque, Kerrie L. Mengersen, Steven E. Stern:
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach. J. Big Data 8(1): 8 (2021) - [j44]Julie Vercelloni, Jon Peppinck, Edgar Santos-Fernández, Miles McBain, Grace Heron, Tanya Dodgen, Erin E. Peterson, Kerrie L. Mengersen:
Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R. PeerJ Comput. Sci. 7: e544 (2021) - [j43]Teo Nguyen, Benoît Liquet, Kerrie L. Mengersen, Damien Sous:
Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers. Remote. Sens. 13(21): 4470 (2021) - [j42]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen:
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 391-404 (2021) - [i6]Susannah Kate Devitt, Tamara Rose Pearce, Alok Kumar Chowdhury, Kerrie L. Mengersen:
A Bayesian social platform for inclusive and evidence-based decision making. CoRR abs/2102.06893 (2021) - [i5]Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James M. McGree:
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. CoRR abs/2107.12592 (2021) - [i4]Letitia Sabburg, Alan Woodley, Kerrie L. Mengersen:
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty. CoRR abs/2112.06921 (2021) - 2020
- [j41]Erin E. Peterson, Edgar Santos-Fernández, Carla C. M. Chen, Samuel Clifford, Julie Vercelloni, Alan Pearse, Ross Brown, Bryce Christensen, Allan R. James, Ken Anthony, Jennifer Loder, Manuel González-Rivero, Chris M. Roelfsema, M. Julian Caley, Camille Mellin, Tomasz Bednarz, Kerrie L. Mengersen:
Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef. Environ. Model. Softw. 124: 104557 (2020) - [j40]Jacinta Holloway, Kate J. Helmstedt, Kerrie L. Mengersen:
Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data. J. Big Data 7(1): 55 (2020) - [j39]Anthony Ebert, Paul Wu, Kerrie L. Mengersen, Fabrizio Ruggeri:
Computationally Efficient Simulation of Queues: The R Package queuecomputer. J. Stat. Softw. 95(1) (2020) - [j38]Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen:
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. 16(5) (2020) - [j37]Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel:
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68: 3860-3870 (2020) - [c5]Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu:
Nonparametric Bayesian Nonnegative Matrix Factorization. MDAI 2020: 132-141 - [i3]Shovanur Haque, Kerrie L. Mengersen:
MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values. CoRR abs/2003.05686 (2020) - [i2]Shovanur Haque, Kerrie L. Mengersen:
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage. CoRR abs/2003.06291 (2020)
2010 – 2019
- 2019
- [j36]Insha Ullah, Kerrie L. Mengersen:
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data. J. Big Data 6: 29 (2019) - [j35]Jacinta Holloway, Kate J. Helmstedt, Kerrie L. Mengersen, Michael Schmidt:
A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images. Remote. Sens. 11(15): 1796 (2019) - [j34]Brigitte Colin, Kerrie L. Mengersen:
Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach. Sensors 19(2): 361 (2019) - [j33]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen:
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28(10): 4899-4911 (2019) - [c4]Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen:
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. LOD 2019: 484-495 - 2018
- [j32]Charisse Farr, Fabrizio Ruggeri, Kerrie L. Mengersen:
Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model. Entropy 20(3): 209 (2018) - [j31]Brigitte Colin, Michael Schmidt, Samuel Clifford, Alan Woodley, Kerrie L. Mengersen:
Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees. Remote. Sens. 10(8): 1260 (2018) - [j30]Jacinta Holloway, Kerrie L. Mengersen:
Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review. Remote. Sens. 10(9): 1365 (2018) - [j29]Juan Sandino, Felipe Gonzalez, Kerrie L. Mengersen, Kevin J. Gaston:
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. Sensors 18(2): 605 (2018) - [j28]Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans:
Using History Matching for Prior Choice. Technometrics 60(4): 445-460 (2018) - [j27]Hong-Bo Xie, Bellie Sivakumar, Tjeerd W. Boonstra, Kerrie L. Mengersen:
Fuzzy Entropy and Its Application for Enhanced Subspace Filtering. IEEE Trans. Fuzzy Syst. 26(4): 1970-1982 (2018) - 2017
- [j26]Denise Beaudequin, Fiona Harden, Anne Roiko, Kerrie L. Mengersen:
Potential of Bayesian networks for adaptive management in water recycling. Environ. Model. Softw. 91: 251-270 (2017) - 2016
- [j25]Alan Herschtal, Farshad Foroudi, Tomas Kron, Kerrie L. Mengersen:
A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data. Commun. Stat. Simul. Comput. 45(8): 2947-2964 (2016) - [j24]Subrata Chakraborty, Kerrie L. Mengersen, Colin J. Fidge, Lin Ma, David Lassen:
A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport. Decis. Anal. 3: 4 (2016) - [j23]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:
Bayesian methods for comparing species physiological and ecological response curves. Ecol. Informatics 34: 35-43 (2016) - [j22]Felipe Gonzalez, Glen A. Montes, Eduard Puig, Sandra Johnson, Kerrie L. Mengersen, Kevin J. Gaston:
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. Sensors 16(1): 97 (2016) - [c3]Tomasz Bednarz, June Kim, Ross Brown, Allan R. James, Kevin Burrage, Samuel Clifford, Jacqueline Davis, Kerrie L. Mengersen, Erin E. Peterson, Steven Psaltis, Julie Vercelloni:
Virtual reality for conservation. Web3D 2016: 177-178 - 2015
- [j21]Matthew T. Moores, Catriona E. Hargrave, Timothy Deegan, Michael Poulsen, Fiona Harden, Kerrie L. Mengersen:
An external field prior for the hidden Potts model with application to cone-beam computed tomography. Comput. Stat. Data Anal. 86: 27-41 (2015) - [j20]Paul Pao-Yen Wu, Clinton Fookes, Jegar Pitchforth, Kerrie L. Mengersen:
A framework for model integration and holistic modelling of socio-technical systems. Decis. Support Syst. 71: 14-27 (2015) - [j19]Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert:
Pre-processing for approximate Bayesian computation in image analysis. Stat. Comput. 25(1): 23-33 (2015) - [c2]Amy Cook, Paul Pao-Yen Wu, Kerrie L. Mengersen:
Machine Learning and Visual Analytics for Consulting Business Decision Support. BDVA 2015: 125-126 - 2014
- [j18]Jegar Pitchforth, Paul Pao-Yen Wu, Kerrie L. Mengersen:
Applying a validation framework to a working airport terminal model. Expert Syst. Appl. 41(9): 4388-4400 (2014) - 2013
- [j17]Jegar Pitchforth, Kerrie L. Mengersen:
A proposed validation framework for expert elicited Bayesian Networks. Expert Syst. Appl. 40(1): 162-167 (2013) - 2012
- [j16]Rebecca Fisher, Rebecca A. O'Leary, Samantha Low Choy, Kerrie L. Mengersen, M. Julian Caley:
A software tool for elicitation of expert knowledge about species richness or similar counts. Environ. Model. Softw. 30: 1-14 (2012) - [i1]Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert:
In praise of the referee. CoRR abs/1205.4304 (2012) - 2011
- [j15]Margaret Donald, Clair L. Alston, Rick R. Young, Kerrie L. Mengersen:
A Bayesian analysis of an agricultural field trial with three spatial dimensions. Comput. Stat. Data Anal. 55(12): 3320-3332 (2011) - [j14]Carla C. M. Chen, Holger Schwender, Jonathan M. Keith, Robin Nunkesser, Kerrie L. Mengersen, Paula E. Macrossan:
Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1580-1591 (2011) - 2010
- [j13]Clair L. Alston, Kerrie L. Mengersen:
Allowing for the effect of data binning in a Bayesian Normal mixture model. Comput. Stat. Data Anal. 54(4): 916-923 (2010) - [j12]Allan R. James, Samantha Low Choy, Kerrie L. Mengersen:
Elicitator: An expert elicitation tool for regression in ecology. Environ. Model. Softw. 25(1): 129-145 (2010)
2000 – 2009
- 2009
- [j11]Darfiana Nur, David Allingham, Judith Rousseau, Kerrie L. Mengersen, Ross McVinish:
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. Comput. Stat. Data Anal. 53(5): 1873-1882 (2009) - [j10]Chris M. Strickland, Ian W. Turner, Robert Denham, Kerrie L. Mengersen:
Efficient Bayesian estimation of multivariate state space models. Comput. Stat. Data Anal. 53(12): 4116-4125 (2009) - [j9]David Allingham, Robert A. R. King, Kerrie L. Mengersen:
Bayesian estimation of quantile distributions. Stat. Comput. 19(2): 189-201 (2009) - 2008
- [j8]Ross McVinish, Kerrie L. Mengersen:
Semiparametric Bayesian circular statistics. Comput. Stat. Data Anal. 52(10): 4722-4730 (2008) - [j7]Michele Haynes, Kerrie L. Mengersen, Paul Rippon:
Generalized Control Charts for Non-Normal Data Using g-and-k Distributions. Commun. Stat. Simul. Comput. 37(9): 1881-1903 (2008) - 2007
- [j6]Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen:
Classification based upon gene expression data: bias and precision of error rates. Bioinform. 23(11): 1363-1370 (2007) - [j5]Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball:
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images. Comput. Stat. Data Anal. 51(9): 4282-4296 (2007) - 2005
- [j4]Michele Haynes, Kerrie L. Mengersen:
Bayesian estimation ofg-and-k distributions using MCMC. Comput. Stat. 20(1): 7-30 (2005) - [r1]Kerrie L. Mengersen, Paul Rippon:
Bayesian Modelling for Machine Learning. Encyclopedia of Information Science and Technology (I) 2005: 236-242 - 2004
- [j3]Mohammad Reza Salehi Rad, Kerrie L. Mengersen, Gholam Hossain Shahkar:
Reservicing some customers in M/G/1 queues under three disciplines. Int. J. Math. Math. Sci. 2004(32): 1715-1723 (2004) - 2003
- [j2]Miranda Y. Mortlock, Nancy Spencer, Kerrie L. Mengersen:
Supporting statistics in the workplace: experiences with two hospitals. Adv. Decis. Sci. 7(2): 115-122 (2003) - [j1]Darfiana Nur, Kerrie L. Mengersen:
Considering ethnicity in teaching and learning statistics: should I worry about where my students come from? Adv. Decis. Sci. 7(2): 123-131 (2003)
1990 – 1999
- 1999
- [c1]Paula E. Macrossan, Hussein A. Abbass, Kerrie L. Mengersen, Michael Towsey, Gerard D. Finn:
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry. IDA 1999: 395-406
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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