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    <title>topic Re: computing derivative numerically at each observation in SAS/IML Software and Matrix Computations</title>
    <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181549#M1807</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I assume you want to use finite difference approximations. Finite differences are available by using the NLPFDD function. See the article &lt;A href="http://blogs.sas.com/content/iml/2011/10/14/hints-for-derivatives/"&gt;"Optimizing? Two hints for specifying derivatives."&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 25 Feb 2015 13:50:21 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2015-02-25T13:50:21Z</dc:date>
    <item>
      <title>computing derivative numerically at each observation</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181548#M1806</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;As is well known that quasi maximum likelihood estimation requires computing first derivative of the individual likelihood at each observation. Does anybody know how to implement it in SAS?d&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Feb 2015 13:37:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181548#M1806</guid>
      <dc:creator>Hanyu</dc:creator>
      <dc:date>2015-02-25T13:37:43Z</dc:date>
    </item>
    <item>
      <title>Re: computing derivative numerically at each observation</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181549#M1807</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I assume you want to use finite difference approximations. Finite differences are available by using the NLPFDD function. See the article &lt;A href="http://blogs.sas.com/content/iml/2011/10/14/hints-for-derivatives/"&gt;"Optimizing? Two hints for specifying derivatives."&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Feb 2015 13:50:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181549#M1807</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2015-02-25T13:50:21Z</dc:date>
    </item>
    <item>
      <title>Re: computing derivative numerically at each observation</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181550#M1808</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you Dr. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Feb 2015 14:25:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181550#M1808</guid>
      <dc:creator>Hanyu</dc:creator>
      <dc:date>2015-02-25T14:25:06Z</dc:date>
    </item>
    <item>
      <title>Re: computing derivative numerically at each observation</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181551#M1809</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dr. I have defined a module that returns a vector containing individual likelihood value at each observation. Then I want to compute the gradient using NLPFDD but SAS reports that the module must return&amp;nbsp; a scalar.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Feb 2015 14:31:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181551#M1809</guid>
      <dc:creator>Hanyu</dc:creator>
      <dc:date>2015-02-25T14:31:54Z</dc:date>
    </item>
    <item>
      <title>Re: computing derivative numerically at each observation</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181552#M1810</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The module should return the likelihood value for a specified value of the parameters, given the data.&amp;nbsp; The entire data set is used as input to the likelihood function, so it is not correct to say that the likelihood is evaluated "at each observation."&amp;nbsp; Look at the article &lt;A href="http://blogs.sas.com/content/iml/2011/10/12/maximum-likelihood-estimation-in-sasiml/"&gt;"Maximum likelihood estimation in SAS/IML&lt;/A&gt;" and see if that helps.&amp;nbsp; Notice that the module takes a single argument, shich is the vector of parameters fr the model.&amp;nbsp; The data are specified by using the GLOBAL clause.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Feb 2015 14:46:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/computing-derivative-numerically-at-each-observation/m-p/181552#M1810</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2015-02-25T14:46:29Z</dc:date>
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