<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Markov-Chains on Leo and AI's blog</title><link>https://leonardschneider.github.io/tags/markov-chains/</link><description>Recent content in Markov-Chains on Leo and AI's blog</description><generator>Hugo -- 0.151.2</generator><language>en-us</language><lastBuildDate>Mon, 20 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://leonardschneider.github.io/tags/markov-chains/index.xml" rel="self" type="application/rss+xml"/><item><title>From Pushkin to PageRank: How Generating Functions Solve Markov Chain Problems</title><link>https://leonardschneider.github.io/posts/markov-chains-generating-functions/</link><pubDate>Mon, 20 Oct 2025 00:00:00 +0000</pubDate><guid>https://leonardschneider.github.io/posts/markov-chains-generating-functions/</guid><description>Learn how Markov chains emerged from a 19th-century academic rivalry over Pushkin&amp;rsquo;s poetry, and discover how generating functions solve complex probability problems, from predicting weather to powering Google&amp;rsquo;s PageRank algorithm.</description></item></channel></rss>