Discussion of 'Event history and topological data analysis'
成果类型：
Editorial Material
署名作者：
Bubenik, Peter
署名单位：
State University System of Florida; University of Florida
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/asab022
发表日期：
2021
页码：
785788
关键词：
摘要：
Garside et al. (2021) use event history methods to analyse topological data. We provide additional background on persistent homology to contrast the hazard estimators used in Garside et al. (2021) with standard approaches in topological data analysis. In particular, Garside et al.'s approach is a local method, which has advantages and disadvantages, whereas homology is global. We also provide more details on persistence landscapes and show how a more complete use of this statistic improves its performance.
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