<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>统计学习 - 标签 - Wenqian's blog</title><link>https://pi-xu.github.io/pages-zn/tags/%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0/</link><description>things fade, alternative exludes</description><generator>Hugo 0.141.0 &amp; FixIt v0.3.17-8b402129</generator><language>zh-CN</language><managingEditor>wenqian.pi.x@gmail.com (Wenqian)</managingEditor><webMaster>wenqian.pi.x@gmail.com (Wenqian)</webMaster><lastBuildDate>Thu, 30 Apr 2026 12:19:27 +0800</lastBuildDate><atom:link href="https://pi-xu.github.io/pages-zn/tags/%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>指数族与广义线性模型</title><link>https://pi-xu.github.io/pages-zn/posts/2026-04-30-glm/</link><pubDate>Thu, 30 Apr 2026 12:19:27 +0800</pubDate><author>wenqian.pi.x@gmail.com (Wenqian)</author><guid>https://pi-xu.github.io/pages-zn/posts/2026-04-30-glm/</guid><category domain="https://pi-xu.github.io/pages-zn/categories/%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0/">学习笔记</category><description>&lt;p>这篇笔记整理指数族、$b(\theta)$、canonical link 和 GLM 之间的关系。核心问题是：响应变量的分布如何决定均值与方差结构，而 link function 又如何把这种结构接到线性预测子上。&lt;/p></description></item></channel></rss>