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08/30/2023
Mapping the prevalence of cancer risk factors at the small area level in Australia
Cancer is a significant health issue globally and it is well known that ...
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08/08/2023
Optimal partitioning of directed acyclic graphs with dependent costs between clusters
Many statistical inference contexts, including Bayesian Networks (BNs), ...
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07/28/2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
This article provides a comprehensive synthesis of the recent developmen...
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06/20/2023
A Two-Stage Bayesian Small Area Estimation Method for Proportions
With the rise in popularity of digital Atlases to communicate spatial va...
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06/02/2023
The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry
Choosing the Fisher information as the metric tensor for a Riemannian ma...
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05/25/2023
Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia
The research explores the influence of preschool attendance (one year be...
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05/22/2023
Conditional normalization in time series analysis
Time series often reflect variation associated with other related variab...
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05/02/2023
Increasing trust in new data sources: crowdsourcing image classification for ecology
Crowdsourcing methods facilitate the production of scientific informatio...
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04/19/2023
Graph Neural Network-Based Anomaly Detection for River Network Systems
Water is the lifeblood of river networks, and its quality plays a crucia...
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02/17/2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Inference on modern Bayesian Neural Networks (BNNs) often relies on a va...
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02/07/2023
Federated Variational Inference Methods for Structured Latent Variable Models
Federated learning methods, that is, methods that perform model training...
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01/18/2023
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning
Construction of dictionaries using nonnegative matrix factorisation (NMF...
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12/13/2022
Where are the vulnerable children? Identification and comparison of clusters of young children with health and developmental vulnerabilities across Queensland
This study aimed to better understand the vulnerability of 5 to 6 year o...
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11/18/2022
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Building on a strong foundation of philosophy, theory, methods and compu...
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09/09/2022
clusterBMA: Bayesian model averaging for clustering
Various methods have been developed to combine inference across multiple...
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08/04/2022
A flexible, random histogram kernel for discrete-time Hawkes processes
Hawkes processes are a self-exciting stochastic process used to describe...
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06/10/2022
Bayesian Design with Sampling Windows for Complex Spatial Processes
Optimal design facilitates intelligent data collection. In this paper, w...
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03/29/2022
Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data
This work introduces a Bayesian approach to assess the sensitivity of mo...
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03/23/2022
Stateful to Stateless: Modelling Stateless Ethereum
The concept of 'Stateless Ethereum' was conceived with the primary aim o...
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03/08/2022
On the intrinsic dimensionality of Covid-19 data: a global perspective
This paper aims to develop a global perspective of the complexity of the...
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02/15/2022
SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks
Spatio-temporal models are widely used in many research areas from ecolo...
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12/13/2021
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty
The communication of uncertainty estimates, predictions and insights bas...
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07/27/2021
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis
Organizations such as government departments and financial institutions ...
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06/03/2021
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data
Real time monitoring using in situ sensors is becoming a common approach...
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05/05/2021
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
Relative abundance is a common metric to estimate the composition of spe...
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03/10/2021
Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: a study of long-term daily temperature in Australia
Climate change is commonly associated with an overall increase in mean t...
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03/05/2021
Bayesian spatio-temporal models for stream networks
Spatio-temporal models are widely used in many research areas including ...
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02/13/2021
A Bayesian social platform for inclusive and evidence-based decision making
Against the backdrop of a social media reckoning, this paper seeks to de...
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11/17/2020
A statistical machine learning approach for benchmarking in the presence of complex contextual factors and peer groups
The ability to compare between individuals or organisations fairly is im...
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11/17/2020
Peer groups for organisational learning: clustering with practical constraints
Peer-grouping is used in many sectors for organisational learning, polic...
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06/01/2020
Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective
Many research domains use data elicited from "citizen scientists" when a...
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04/08/2020
Bayesian Computation with Intractable Likelihoods
This article surveys computational methods for posterior inference with ...
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03/16/2020
Bayesian item response models for citizen science ecological data
So-called citizen science data elicited from crowds has become increasin...
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03/12/2020
Improved assessment of the accuracy of record linkage via an extended MaCSim approach
Record linkage is the process of bringing together the same entity from ...
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03/12/2020
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage
Record linkage is the process of bringing together the same entity from ...
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03/12/2020
Assessing the accuracy of individual link with varying block sizes and cut-off values using MaCSim approach
Record linkage is the process of matching together the records from diff...
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03/12/2020
MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values
Record linkage is the process of matching together the records from diff...
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02/11/2020
The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball
A new range of statistical analysis has emerged in sports after the intr...
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10/31/2019
Combined parameter and state inference with automatically calibrated ABC
State space models contain time-indexed parameters, called states; some ...
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10/06/2019
Factors associated with injurious from falls in people with early stage Parkinson's disease
Falls are common in people with Parkinson's disease (PD) and have detrim...
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10/04/2019
Profile regression for subgrouping patients with early stage Parkinson's disease
Falls are detrimental to people with Parkinson's Disease (PD) because of...
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10/03/2019
Assessing the predictive ability of the UPDRS for falls classification in early stage Parkinson's disease
Identification of risk factors associated with falls in people with Park...
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09/05/2019
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation
The Banana Bunchy Top Virus (BBTV) is one of the most economically impor...
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02/17/2019
A feature-based framework for detecting technical outliers in water-quality data from in situ sensors
Outliers due to technical errors in water-quality data from in situ sens...
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01/15/2019
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach
Record linkage is the process of finding matches and linking records fro...
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10/31/2018
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
River water-quality monitoring is increasingly conducted using automated...
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10/30/2018
Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates
A particular focus of water-quality monitoring is the concentrations of ...
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08/15/2018
Monitoring through many eyes: Integrating scientific and crowd-sourced datasets to improve monitoring of the Great Barrier Reef
Data in the Great Barrier Reef (GBR) are collected by numerous organisat...
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04/07/2018
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks
Many complex real-world systems such as airport terminals, manufacturing...
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03/18/2018