Short Communication: Detecting Possibly Frequent Change-points: Wild Binary Segmentation 2

2020/06/18 by Lund, Robert, Shi, Xueheng
#FOS: Computer and information sciences #Methodology (stat.ME)

paper · doi:10.48550/arxiv.2006.10845

Abstract

This article comments on the new version of wild binary segmentation 2. Wild Binary Segmentation 2 and Steepest-drop Model Selection has made improvements on changepoint analysis especially on reducing the computational cost. However, WBS2 tends to overestimate as WBS and the threshold does not work appropriately on short sequences without changepoints.

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