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    <title>topic Extended Kalman Filter in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Extended-Kalman-Filter/m-p/655227#M3860</link>
    <description>&lt;P&gt;Hi, I want to write a code for extended Kalman filter. I know SAS has subroutine such as KALCVF but this subroutine is for a standard linear Kalman filter. The observation equation that I am trying to deal with has non-linear and time-varying coefficients that depends on the value of the previous state variables and observation variables. Specifically, my extended Kalman filter is&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;X_t = a X_t-1 + error (State Equation)&lt;/P&gt;&lt;P&gt;Y_t = f(Y_t-1, X_t-2) X_t-1 + error (Observation Equation),&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;where f is a quadratic function.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I think there is no way to use subroutine for run this Kalman filter. Probably, I need to write a code from scratch. If anyone had similar experience, please help me with this problem.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 09 Jun 2020 08:15:00 GMT</pubDate>
    <dc:creator>SASingaKorean</dc:creator>
    <dc:date>2020-06-09T08:15:00Z</dc:date>
    <item>
      <title>Extended Kalman Filter</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Extended-Kalman-Filter/m-p/655227#M3860</link>
      <description>&lt;P&gt;Hi, I want to write a code for extended Kalman filter. I know SAS has subroutine such as KALCVF but this subroutine is for a standard linear Kalman filter. The observation equation that I am trying to deal with has non-linear and time-varying coefficients that depends on the value of the previous state variables and observation variables. Specifically, my extended Kalman filter is&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;X_t = a X_t-1 + error (State Equation)&lt;/P&gt;&lt;P&gt;Y_t = f(Y_t-1, X_t-2) X_t-1 + error (Observation Equation),&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;where f is a quadratic function.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I think there is no way to use subroutine for run this Kalman filter. Probably, I need to write a code from scratch. If anyone had similar experience, please help me with this problem.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 09 Jun 2020 08:15:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Extended-Kalman-Filter/m-p/655227#M3860</guid>
      <dc:creator>SASingaKorean</dc:creator>
      <dc:date>2020-06-09T08:15:00Z</dc:date>
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