<?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 Chain on Qian Jia</title><link>https://qian-jia.github.io/tags/markov-chain/</link><description>Recent content in Markov Chain on Qian Jia</description><generator>Hugo -- 0.145.0</generator><language>en</language><lastBuildDate>Thu, 03 Apr 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://qian-jia.github.io/tags/markov-chain/index.xml" rel="self" type="application/rss+xml"/><item><title>An Introduction to Markov Chains</title><link>https://qian-jia.github.io/blogs/intro-markov-chain/</link><pubDate>Thu, 03 Apr 2025 00:00:00 +0000</pubDate><guid>https://qian-jia.github.io/blogs/intro-markov-chain/</guid><description>Markov chains represent a fascinating intersection of probability and dynamic systems. They offer a framework for modeling processes where the future state depends solely on the current state—a concept known as the Markov property.</description></item></channel></rss>