The decomposition of time series into components is an important task that helps to understand time series and can enable better forecasting. Nowadays, with high sampling rates leading to high-frequency data (such as daily, hourly, or minutely data),...

I will discuss and demonstrate several digital tools that underpin the efficiency and reproducibility of a modern research workflow.

Commentary on Qu, Dai, Euan, Sun and Genton (2025) Exploratory Functional Data Analysis, TEST, in press.

Data-driven organizations around the world routinely use forecasting methods to improve their planning and decision-making capabilities. Although much research exists on the harms resulting from traditional machine learning applications, little has s...

Talk to be given at Research Bazaar Victoria, Clayton, Australia.

I will demonstrate the digital tools that underpin the efficiency and r...