Search Results for author:
Found 4 papers, 4 papers with code
Statistical Evaluation of Anomaly Detectors for Sequences
Although precision and recall are standard performance measures for anomaly detection, their statistical properties in sequential detection settings are poorly understood.
Differentiable Segmentation of Sequences
We build on recent advances in learning continuous warping functions and propose a novel family of warping functions based on the two-sided power (TSP) distribution.
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
We propose a novel statistical methodology to measure, test and visualize the systematic association between rare events and peaks in a time series.
Two-Sample Testing for Event Impacts in Time Series
Unfortunately, it is often non-trivial to select both a time series that is informative about events and a powerful detection algorithm: detection may fail because the detection algorithm is not suitable, or because there is no shared information between the time series and the events of interest.
