CORDIS Project
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This project investigates the intersection of applied mathematics and statistics, focusing on developing predictive models and methodologies for analyzing complex phenomena. Applications span various fields, including atmospheric sciences and signal processing, aiming to optimize data utilization.
Applied mathematics is concerned with developing models with predictive capability, and with probing those models to obtain qualitative and quantitative insight into the phenomena being modelled.
Statistics is data-driven and is aimed at the development of methodologies to optimize the information derived from data.
The increasing complexity of phenomena that scientists and engineers wish to model, together with our increased ability to gather, store and interrogate data, mean that the subjects…
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