{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,24]],"date-time":"2022-12-24T05:55:13Z","timestamp":1671861313638},"reference-count":3,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T00:00:00Z","timestamp":1636934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,15]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>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.\u2019s 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.<\/jats:p>","DOI":"10.1093\/biomet\/asab022","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T21:27:26Z","timestamp":1617917246000},"page":"785-788","source":"Crossref","is-referenced-by-count":1,"title":["Discussion of \u2018Event history and topological data analysis\u2019"],"prefix":"10.1093","volume":"108","author":[{"given":"Peter","family":"Bubenik","sequence":"first","affiliation":[{"name":"Department of Mathematics, University of Florida, PO Box 118105, Gainesville, Florida 32611, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,11,15]]},"reference":[{"key":"2021111803490068500_B1","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1093\/biomet\/asaa097","article-title":"Event history and topological data analysis","volume":"108","author":"Garside,","year":"2021","journal-title":"Biometrika"},{"key":"2021111803490068500_B2","article-title":"Topology-aware segmentation using discrete Morse theory","author":"Hu,","year":"2021"},{"key":"2021111803490068500_B3","volume-title":"R: A Language and Environment for Statistical Computing","year":"2021"}],"container-title":["Biometrika"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/biomet\/article-pdf\/108\/4\/785\/41153593\/asab022.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/biomet\/article-pdf\/108\/4\/785\/41153593\/asab022.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T21:02:10Z","timestamp":1671829330000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/biomet\/article\/108\/4\/785\/6428618"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,15]]},"references-count":3,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,11,15]]},"published-print":{"date-parts":[[2021,11,15]]}},"URL":"https:\/\/doi.org\/10.1093\/biomet\/asab022","relation":{},"ISSN":["0006-3444","1464-3510"],"issn-type":[{"value":"0006-3444","type":"print"},{"value":"1464-3510","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,12,1]]},"published":{"date-parts":[[2021,11,15]]}}}