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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1908.07021/</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/1908.07021/feed.xml" rel="self" type="application/rss+xml" /><item><title>A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics — mentioned by hackandthink</title><link>https://news.ycombinator.com/item?id=33151728</link><guid isPermaLink="false">urn:hackerpapers:mention:1908.07021:33151728</guid><pubDate>Mon, 10 Oct 2022 14:18:29 GMT</pubDate><description>&lt;p&gt;Probability Theory without Measure Theory is advancing. Interestingly Tobias Fritz is a Physicist. &amp;quot;A synthetic approach to Markov kernels...&amp;quot; https://arxiv.org/abs/1908.07021&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1908.07021/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.ST</category></item></channel></rss>
