Trustworthy data-driven discovery from complex high-dimensional data. This project pioneers new statistical methods that prioritise stability, resistance, and interpretability for analysing high-dimen

Description

Trustworthy data-driven discovery from complex high-dimensional data. This project pioneers new statistical methods that prioritise stability, resistance, and interpretability for analysing high-dimensional data. By integrating Bayesian and Frequentist principles for statistical model building, new solutions will enhance data analysis reliability in neuroscience, meat science, and climate change. Expected outcomes include innovative statistical tools that provide consistent, interpretable insights, enabling confident decision-making and interdisciplinary collaboration in these fields. This research will empower scientists to derive trustworthy findings from complex data in Australian and global contexts, advancing research and application in health, food science, and climate studies.. Scheme: Discovery Projects. Field: 4905 - Statistics. Lead: Prof Samuel Muller