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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Information Theory: A Tutorial Introduction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.05968/</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/1802.05968/feed.xml" rel="self" type="application/rss+xml" /><item><title>Information Theory: A Tutorial Introduction — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=43630444</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.05968:43630444</guid><pubDate>Wed, 09 Apr 2025 09:43:59 GMT</pubDate><description>&lt;p&gt;I took AP Stat in HS and then College Stats in college unnecessarily. In HS it was TI-83 calculators, and in college it was excel with optional minitab. R was new then I remember ANOVA being the pinnacle of AP Stat. There are newer ANOVA-like statistical procedures like CANOVA; &amp;quot;Efficient test for nonlinear dependence of two continuous variables&amp;quot; (2015) https://pmc.ncbi.nlm.nih.gov/articles/PMC4539721/ Estimators: Yellowbrick implements the scikit-learn Estimator API: https://www.scikit-yb.org/en/latest/ &amp;quot;Developing scikit-learn estimators&amp;quot;…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.05968/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item><item><title>Information Theory: A Tutorial Introduction — HN submission</title><link>https://news.ycombinator.com/item?id=27642906</link><guid isPermaLink="false">urn:hackerpapers:submission:1802.05968:27642906</guid><pubDate>Sat, 26 Jun 2021 15:52:19 GMT</pubDate><description>&lt;p&gt;Information Theory: A Tutorial Introduction&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;297 points; 26 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1802.05968/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item><item><title>Information Theory: A Tutorial Introduction — mentioned by painful</title><link>https://news.ycombinator.com/item?id=19075403</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.05968:19075403</guid><pubDate>Mon, 04 Feb 2019 11:12:57 GMT</pubDate><description>&lt;p&gt;Good find. Also see https://arxiv.org/abs/1802.05968&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.05968/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item></channel></rss>
