论文标题

讨论“检测可能频繁的变更点:野生二元分割2和最陡峭的模型选择”

Discussion of 'Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection'

论文作者

Cho, Haeran, Kirch, Claudia

论文摘要

我们讨论了Fryzlewicz(2020)中提出的WBS2.SDLL提供的理论保证,并探索了SDLL的替代性,基于Mosum的候选方法。

We discuss the theoretical guarantee provided by the WBS2.SDLL proposed in Fryzlewicz (2020) and explore an alternative, MOSUM-based candidate generation method for the SDLL.

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