CORDIS Project
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This project develops new statistical models for analyzing complex data structures, particularly discrete tensor data related to crime statistics. It aims to improve understanding of crime distribution and forecasting, aiding policymakers in making informed decisions.
Policymakers and governmental institutions rely every day on data to make important decisions that impact citizens’ quality of life.
For instance, the availability of large amounts of time series data observed in many dimensions and levels of granularity requires the development of new techniques to model and draw conclusions from such complex systems.
Multivariate time series data structures typically deal with time series and cross-sectional dimensions.
Nowadays, much more complex data structu…
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