Validity and efficiency of the conformal CUSUM procedure
arXiv:2412.03464v1h-index: 26
Originality Incremental advance
AI Analysis
This addresses change detection in statistical monitoring, likely for applications like quality control or anomaly detection, but appears incremental as it adapts an existing method.
The paper tackles the problem of change detection by proposing a conformal version of the CUSUM procedure, and it validates and evaluates its efficiency both theoretically and experimentally, though no concrete numbers are provided in the abstract.
In this paper we study the validity and efficiency of a conformal version of the CUSUM procedure for change detection both experimentally and theoretically.