Responsible Statistical Learning: Uncertainty, Fairness and Transparency. This project seeks to create a new framework for statistical analysis that improves prediction accuracy, fairness, and transpa

Description

Responsible Statistical Learning: Uncertainty, Fairness and Transparency. This project seeks to create a new framework for statistical analysis that improves prediction accuracy, fairness, and transparency, while also accounting for uncertainty in data over time and space. It focuses on improving statistical methods for complex data, particularly in addressing the challenges of climate change’s impact on insurance pricing. The goal is to develop fairer, more reliable methods for pricing life insurance and planning for retirement, with a focus on ensuring better outcomes for all. The research aims to reduce inequalities and improve public health and social services, ultimately helping Australians adapt to climate change.. Scheme: Discovery Projects. Field: 4905 - Statistics. Lead: A/Prof Yanrong Yang