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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1506.06201/</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/1506.06201/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists — mentioned by kgwgk</title><link>https://news.ycombinator.com/item?id=12992796</link><guid isPermaLink="false">urn:hackerpapers:mention:1506.06201:12992796</guid><pubDate>Sat, 19 Nov 2016 10:21:48 GMT</pubDate><description>&lt;p&gt;Maybe this helps: https://arxiv.org/abs/1506.06201&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1506.06201/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ME</category></item></channel></rss>
