activity
20172025
most citedBeing Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

18 citations · 26 across the 10 of their papers we have counts for

collaborators

10 papers

math.GM2025

Geographic Characterisation of Children's Health and Wellbeing through Vulnerability Indices Using Principal Component Analysis (PCA) and K-Means Clustering

Harriette Phillips, Aiden Price, Kerrie Mengersen

Using Australian children as a case study, this paper aims to develop vulnerability indices to characterise the health and well-being of children aged 0-5 years old. The indices ar…

cs.DB2024

Guidelines for the Creation of Analysis Ready Data

Harriette Phillips, Aiden Price, Owen Forbes +4

Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive ap…

stat.ME2024★ 3 cited

Creating a Spatial Vulnerability Index for Environmental Health

Aiden Price, Kerrie Mengersen, Michael Rigby +1

Extreme natural hazards are increasing in frequency and intensity. These natural changes in our environment, combined with man-made pollution, have substantial economic, social and…

stat.AP2023

Spatial Non-parametric Bayesian Clustered Coefficients

Wala Draidi Areed, Aiden Price, Helen Thompson +2

In the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this pa…

stat.ME2023

Bayesian Cluster Geographically Weighted Regression for Spatial Heterogeneous Data

Wala Draidi Areed, Aiden Price, Helen Thompson +3

Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be co…

stat.ML2023

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 +3

The research explores the influence of preschool attendance (one year before full-time school) on the development of children during their first year of school. Using data collecte…

stat.AP2023★ 1 cited

Increasing trust in new data sources: crowdsourcing image classification for ecology

Edgar Santos-Fernandez, Julie Vercelloni, Aiden Price +4

Crowdsourcing methods facilitate the production of scientific information by non-experts. This form of citizen science (CS) is becoming a key source of complementary data in many f…

stat.AP2022

Where are the vulnerable children? Identification and comparison of clusters of young children with health and developmental vulnerabilities across Queensland

Wala Draidi Areed, Aiden Price, Kathryn Arnett +2

This study aimed to better understand the vulnerability of 5 to 6 year old children in their first year of school, based on five health and development domains. Identification of s…

stat.AP2022★ 18 cited

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

Joshua J. Bon, Adam Bretherton, Katie Buchhorn +12

Building on a strong foundation of philosophy, theory, methods and computation over the past three decades, Bayesian approaches are now an integral part of the toolkit for most sta…

cs.IT2017★ 4 cited

A Survey on Trapping Sets and Stopping Sets

Aiden Price, Joanne Hall

LDPC codes are used in many applications, however, their error correcting capabilities are limited by the presence of stopping sets and trapping sets. Trapping sets and stopping se…