Moving window approach for detecting change points in relational event data
Collections
Related items
Showing items related by title, author, creator and subject.
-
Visual insight into the temporal changes of sand patterns along the Dutch coast, A contribution to detailed point cloud visualization for policymaking and research in coastal management
Schreijer, A.Y.A. (2021)Coastal management in the Netherlands is an important issue to avoid flooding. The coast is a dynamic system which changes through time. Changes in morphology do not only occur on the long term but also on the short term. ... -
Flow Compare: Conditional Normalizing Flows for Point Cloud Change Detection
Galanakis, S.D. (2021)Despite significant progress in 3D deep learning for tasks such as classification and semantic segmentation, robust change detection techniques for complex, coloured environments have not been developed. This is in part ... -
Change point detection in relational event history data based on moving window approach with optimal window length.
Besselink, Bradley (2022)This paper proposes a strategy to study the social dynamics in timestamped data. The analysis is based on the Relational Event History (REH). It introduces Apollo 13 data to illustrate the study objective. The goal of ...