<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic How to estimate a Gaussian mixture model with the EM algorithm in SAS? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267034#M14064</link>
    <description>&lt;P&gt;I am trying to fit a univariate Gaussian Mixture Model with the EM algorithm. But I only found a package in R (mclust). Does anybody know an equivalent proc step in SAS 9.3?&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;
&lt;P&gt;Many thanks in advance.&lt;/P&gt;</description>
    <pubDate>Thu, 28 Apr 2016 16:37:56 GMT</pubDate>
    <dc:creator>DaLack</dc:creator>
    <dc:date>2016-04-28T16:37:56Z</dc:date>
    <item>
      <title>How to estimate a Gaussian mixture model with the EM algorithm in SAS?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267034#M14064</link>
      <description>&lt;P&gt;I am trying to fit a univariate Gaussian Mixture Model with the EM algorithm. But I only found a package in R (mclust). Does anybody know an equivalent proc step in SAS 9.3?&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;
&lt;P&gt;Many thanks in advance.&lt;/P&gt;</description>
      <pubDate>Thu, 28 Apr 2016 16:37:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267034#M14064</guid>
      <dc:creator>DaLack</dc:creator>
      <dc:date>2016-04-28T16:37:56Z</dc:date>
    </item>
    <item>
      <title>Re: How to estimate a Gaussian mixture model with the EM algorithm in SAS?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267067#M14065</link>
      <description>&lt;P&gt;Look at &lt;STRONG&gt;proc FMM&lt;/STRONG&gt;.&lt;/P&gt;</description>
      <pubDate>Thu, 28 Apr 2016 17:57:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267067#M14065</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-04-28T17:57:54Z</dc:date>
    </item>
    <item>
      <title>Re: How to estimate a Gaussian mixture model with the EM algorithm in SAS?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267092#M14066</link>
      <description>&lt;P&gt;You can fit a wide range of finite mixture models by using the FMM procedure. You can&lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_fmm_details09.htm" target="_self"&gt; choose from the conjugate Gibbs sampler or the Metropolis-Hastings sampling algorithm&lt;/A&gt;. To see a simple&amp;nbsp;example of Gaussian mixtures, see &lt;A href="http://blogs.sas.com/content/iml/2011/09/23/modeling-finite-mixtures-with-the-fmm-procedure.html" target="_self"&gt;"Modeling finite mixtures"&lt;/A&gt;&amp;nbsp;and &lt;A href="http://blogs.sas.com/content/iml/2011/10/21/the-power-of-finite-mixture-models.html" target="_self"&gt;"The power of finite mixture models."&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 28 Apr 2016 19:46:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-estimate-a-Gaussian-mixture-model-with-the-EM-algorithm/m-p/267092#M14066</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-04-28T19:46:19Z</dc:date>
    </item>
  </channel>
</rss>

