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    <title>topic Re: MCMC iterations in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/MCMC-iterations/m-p/248332#M13066</link>
    <description>&lt;P&gt;Your convergence might be slow. Consider increasing your burn-in iterations and &amp;nbsp;thining your chain by a factor of, let's say, 10 or 20.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;PROC MCMC DATA = YourDATA &amp;nbsp;nbi=50000 nmc=200000 thin =20 &amp;nbsp;;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Your posterior estimates will be based on 200,000/20 = 10,000 observations.&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 05 Feb 2016 16:52:01 GMT</pubDate>
    <dc:creator>youtoub</dc:creator>
    <dc:date>2016-02-05T16:52:01Z</dc:date>
    <item>
      <title>MCMC iterations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MCMC-iterations/m-p/248081#M13061</link>
      <description>&lt;P&gt;How to decide number of Markov's Chain iterations while running proc MCMC for bayesian approach of multiple linear regression?&lt;/P&gt;&lt;P&gt;In my datasset it seems that I am unable to remove autocorrelation from the model. Please suggest.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Feb 2016 20:20:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MCMC-iterations/m-p/248081#M13061</guid>
      <dc:creator>piyushstats</dc:creator>
      <dc:date>2016-02-04T20:20:58Z</dc:date>
    </item>
    <item>
      <title>Re: MCMC iterations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/MCMC-iterations/m-p/248332#M13066</link>
      <description>&lt;P&gt;Your convergence might be slow. Consider increasing your burn-in iterations and &amp;nbsp;thining your chain by a factor of, let's say, 10 or 20.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;PROC MCMC DATA = YourDATA &amp;nbsp;nbi=50000 nmc=200000 thin =20 &amp;nbsp;;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Your posterior estimates will be based on 200,000/20 = 10,000 observations.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 05 Feb 2016 16:52:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/MCMC-iterations/m-p/248332#M13066</guid>
      <dc:creator>youtoub</dc:creator>
      <dc:date>2016-02-05T16:52:01Z</dc:date>
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