CORDIS Project
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This project aims to enhance statistical methods for analyzing spatial and spatiotemporal data by developing new computational techniques. It focuses on creating flexible dependency structures and efficient numerical methods to improve inference from complex datasets in various scientific fields.
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 mode…
TECHNISCHE UNIVERSITEIT DELFT
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