<?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>概率统计 on BrightPan Blog</title><link>https://www.brightpan.app/tags/%E6%A6%82%E7%8E%87%E7%BB%9F%E8%AE%A1/</link><description>Recent content in 概率统计 on BrightPan Blog</description><generator>Hugo -- 0.146.0</generator><language>en-us</language><lastBuildDate>Thu, 16 Apr 2026 19:00:00 +0800</lastBuildDate><atom:link href="https://www.brightpan.app/tags/%E6%A6%82%E7%8E%87%E7%BB%9F%E8%AE%A1/index.xml" rel="self" type="application/rss+xml"/><item><title>硬币 vs 违约：从一个对比走通信息论与概率统计</title><link>https://www.brightpan.app/programming/coin_vs_default_information_theory_and_statistics/</link><pubDate>Thu, 16 Apr 2026 19:00:00 +0800</pubDate><guid>https://www.brightpan.app/programming/coin_vs_default_information_theory_and_statistics/</guid><description>抛硬币和预测违约，都是二元结果、都有概率——但为什么一个不需要模型，另一个养活了整个行业？沿着这个对比，一层层展开信息论与概率统计的核心概念。</description></item></channel></rss>