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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistical topological data analysis using persistence landscapes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1207.6437/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1207.6437/feed.xml" rel="self" type="application/rss+xml" /><item><title>Statistical topological data analysis using persistence landscapes — mentioned by Topolomancer</title><link>https://news.ycombinator.com/item?id=5466426</link><guid isPermaLink="false">urn:hackerpapers:mention:1207.6437:5466426</guid><pubDate>Sat, 30 Mar 2013 19:45:32 GMT</pubDate><description>&lt;p&gt;Very good find, thanks for that. I recall that Peter Bubenik is working on a similar approach. His recent paper about &amp;quot;Persistence landscape&amp;quot; is also quite accessible, in my opinion: http://arxiv.org/abs/1207.6437&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1207.6437/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.AT</category></item></channel></rss>
