<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Random Variables on Chen Kai Blog</title><link>https://www.chenk.top/zh/tags/random-variables/</link><description>Recent content in Random Variables on Chen Kai Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Tue, 20 Aug 2024 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/zh/tags/random-variables/index.xml" rel="self" type="application/rss+xml"/><item><title>概率与统计（二）：随机变量及关键分布</title><link>https://www.chenk.top/zh/probability-statistics/02-random-variables/</link><pubDate>Tue, 20 Aug 2024 09:00:00 +0000</pubDate><guid>https://www.chenk.top/zh/probability-statistics/02-random-variables/</guid><description>&lt;p>在上一篇文章中，我们构建了概率论的公理化基础，你或许会觉得花了太多时间讨论集合与子集——事实的确如此。事件与 σ-代数这套机制虽必不可少，却略显枯燥，无法自然地支持均值计算、离散度度量或数据拟合。&lt;/p></description></item></channel></rss>