ERC Starting Grant · 2025
Functional Calculus for Computational Statistics
Computations with spatial or spatiotemporal data occur in various areas such as the social and environmental sciences. The technological progress in data collection and storage capacities in recent years has caused a tremendous growth in data, and thereby exposed the limitations of state-of-the-art computational methods for statistical inference and predictions. Achieving computational feasibility severely limits the dependency structures of underlying random processes in currently deployed models. Above all, there is a strong need for methodologies that capture intricate spatial or spatiotemporal dependencies. This project seeks to characterize flexible dependency structures by means of…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.