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    <title>topic How can I specify a prior in proc fmm using the Bayes statement? in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-can-I-specify-a-prior-in-proc-fmm-using-the-Bayes-statement/m-p/268250#M58079</link>
    <description>&lt;P&gt;I want to estimate a univariate Gaussian mixture model with two components using proc fmm. With respect to the Bayes statement, I am assuming a triangular distribution for one parameter. Does anybody know how to implement it? I checked proc mcmc and there it is possible to construct your own prior via the general function (&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mcmc_sect026.htm)." target="_blank"&gt;https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mcmc_sect026.htm).&lt;/A&gt; &lt;BR /&gt;&lt;BR /&gt;Many thanks in advance.&lt;/P&gt;</description>
    <pubDate>Wed, 04 May 2016 11:52:18 GMT</pubDate>
    <dc:creator>DaLack</dc:creator>
    <dc:date>2016-05-04T11:52:18Z</dc:date>
    <item>
      <title>How can I specify a prior in proc fmm using the Bayes statement?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-can-I-specify-a-prior-in-proc-fmm-using-the-Bayes-statement/m-p/268250#M58079</link>
      <description>&lt;P&gt;I want to estimate a univariate Gaussian mixture model with two components using proc fmm. With respect to the Bayes statement, I am assuming a triangular distribution for one parameter. Does anybody know how to implement it? I checked proc mcmc and there it is possible to construct your own prior via the general function (&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mcmc_sect026.htm)." target="_blank"&gt;https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mcmc_sect026.htm).&lt;/A&gt; &lt;BR /&gt;&lt;BR /&gt;Many thanks in advance.&lt;/P&gt;</description>
      <pubDate>Wed, 04 May 2016 11:52:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-can-I-specify-a-prior-in-proc-fmm-using-the-Bayes-statement/m-p/268250#M58079</guid>
      <dc:creator>DaLack</dc:creator>
      <dc:date>2016-05-04T11:52:18Z</dc:date>
    </item>
    <item>
      <title>Re: How can I specify a prior in proc fmm using the Bayes statement?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-can-I-specify-a-prior-in-proc-fmm-using-the-Bayes-statement/m-p/268292#M58080</link>
      <description>&lt;P&gt;I don't think that FMM supports general priors. I only see the "usual suspects" in the doc: beta, gama, Dirichlet, etc&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;However, there is an easy way to create a beta distribution that kinda-sorta looks like a triangular distribution, in the sense that it has support is on [a,b] and it has a mode at c. &amp;nbsp;It is sometimes known as the PERT distribution. See the article &lt;A href="http://blogs.sas.com/content/iml/2012/10/24/pert-distribution.html" target="_self"&gt;"That distribution is quite PERT!"&lt;/A&gt;&amp;nbsp;to learn how to choose the parameters of the beta distribution. &amp;nbsp;Choosing a PERT (via beta) distribution might capture the spirit of your&amp;nbsp;prior.&lt;/P&gt;</description>
      <pubDate>Wed, 04 May 2016 14:37:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-can-I-specify-a-prior-in-proc-fmm-using-the-Bayes-statement/m-p/268292#M58080</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-05-04T14:37:53Z</dc:date>
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