<?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>SETAR on Sheng Dong&#39;s website</title>
    <link>https://shdong.net/tags/setar/</link>
    <description>Recent content in SETAR on Sheng Dong&#39;s website</description>
    <image>
      <url>https://shdong.net/ptr.png</url>
      <link>https://shdong.net/ptr.png</link>
    </image>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <lastBuildDate>Sat, 29 Apr 2023 20:50:34 +0800</lastBuildDate><atom:link href="https://shdong.net/tags/setar/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>SETAR Model</title>
      <link>https://shdong.net/post/setar-model/</link>
      <pubDate>Sat, 29 Apr 2023 20:50:34 +0800</pubDate>
      
      <guid>https://shdong.net/post/setar-model/</guid>
      <description>&lt;p&gt;SETAR的全称是“Self-Exciting Threshold Auto-Regressive (SETAR) models”，可用于对一个时间序列变量的模式演变进行阶段划分。该模型最早于1977年由Howell Tong提出&lt;sup id=&#34;fnref:1&#34;&gt;&lt;a href=&#34;#fn:1&#34; class=&#34;footnote-ref&#34; role=&#34;doc-noteref&#34;&gt;1&lt;/a&gt;&lt;/sup&gt;。&lt;/p&gt;</description>
    </item>
    
  </channel>
</rss>
