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    <title>topic Clear understaning of hessian matrix in Proc mixed/glimmix in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Clear-understaning-of-hessian-matrix-in-Proc-mixed-glimmix/m-p/148645#M297730</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Hello forum,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am using proc mixed with follow code.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc mixed data=test;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; class diet drug pup_id rat_id;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; model tg=diet drug diet*drug/ ddfm=bw;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; random int/ sub=pup_id(rat_id);&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When I remove ddfm=bw, the hessian matrix is not positive defnite.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can someone explain anout hessian matrix, positive defiteness, and algorithm involved in it?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks !!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 04 Aug 2014 21:47:22 GMT</pubDate>
    <dc:creator>kaushal2040</dc:creator>
    <dc:date>2014-08-04T21:47:22Z</dc:date>
    <item>
      <title>Clear understaning of hessian matrix in Proc mixed/glimmix</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Clear-understaning-of-hessian-matrix-in-Proc-mixed-glimmix/m-p/148645#M297730</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Hello forum,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am using proc mixed with follow code.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc mixed data=test;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; class diet drug pup_id rat_id;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; model tg=diet drug diet*drug/ ddfm=bw;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; random int/ sub=pup_id(rat_id);&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When I remove ddfm=bw, the hessian matrix is not positive defnite.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can someone explain anout hessian matrix, positive defiteness, and algorithm involved in it?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks !!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 04 Aug 2014 21:47:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Clear-understaning-of-hessian-matrix-in-Proc-mixed-glimmix/m-p/148645#M297730</guid>
      <dc:creator>kaushal2040</dc:creator>
      <dc:date>2014-08-04T21:47:22Z</dc:date>
    </item>
    <item>
      <title>Re: Clear understaning of hessian matrix in Proc mixed/glimmix</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Clear-understaning-of-hessian-matrix-in-Proc-mixed-glimmix/m-p/148646#M297731</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The Hessian matrix is a matrix of partial second derivatives of the objective function.&amp;nbsp; If it is positive definite (all positive eigenvalues) then the point is a local minimum.&amp;nbsp; The idea behind maximum likelihood is to find the point where this occurs.&amp;nbsp; For more on this, check out the Details&amp;gt;Mixed Models Theory in the PROC MIXED documentation.&amp;nbsp; From there, you can find references to texts that go into this in much more detail.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 06 Aug 2014 11:41:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Clear-understaning-of-hessian-matrix-in-Proc-mixed-glimmix/m-p/148646#M297731</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-08-06T11:41:03Z</dc:date>
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