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    <title>topic Re: HELLO EVERY ONE, in ArcGIS GeoStatistical Analyst Questions</title>
    <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419425#M874</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;A formula for EBK could probably be written, but it would be so complicated that no one would be able to understand it.&amp;nbsp; To understand EBK, you need to understand the procedure that generates the predictions.&amp;nbsp; There is more information in the documentation on Empirical Bayesian Kriging, but the general procedure is:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Subset the input data.&lt;/LI&gt;&lt;LI&gt;In each subset, estimate a semivariogram using maximum likelihood.&amp;nbsp; This semivariogram will have a relatively simple formula and will serve as the seed for simulations later.&lt;/LI&gt;&lt;LI&gt;Use the estimated semivariogram to simulate new values at each of the input point locations.&lt;/LI&gt;&lt;LI&gt;Estimate a new semivariogram from the simulated data values.&lt;/LI&gt;&lt;LI&gt;Simulate a new set of data from the seed semivariogram.&lt;/LI&gt;&lt;LI&gt;Repeat steps 4 and 5 many times (by default, 100 times).&amp;nbsp; This results in an empirical distribution of semivariograms in each subset.&lt;/LI&gt;&lt;LI&gt;Use the empirical distribution in each subset as a Bayesian prior and calculate the posterior distribution.&lt;/LI&gt;&lt;LI&gt;Finally, when making a prediction at a new location, identify the neighbors based on the search neighborhood and merge the posterior distributions from the subset associated with each neighbor.&amp;nbsp; The distributions will be weighted proportionally by the number of neighbors from that subset.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The only difference for EBK Regression Prediction is that in step 2, you will estimate a coefficient for the explanatory variables that you provide in addition to the semivariogram parameters.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 12 Dec 2018 14:42:25 GMT</pubDate>
    <dc:creator>EricKrause</dc:creator>
    <dc:date>2018-12-12T14:42:25Z</dc:date>
    <item>
      <title>HELLO EVERY ONE,</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419424#M873</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;H1 style="color: #4c4c4c; font-weight: 300; font-size: 2.40307rem; margin: 0px 0px 1.55rem;"&gt;&lt;SPAN style="background-color: #ffffff; font-weight: normal;"&gt;I'am searching for&amp;nbsp;the function of EBK Regression Prediction,&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN style="background-color: #ffffff; font-weight: normal;"&gt;for example for the ordinary kriging we have:&lt;/SPAN&gt;&lt;/H1&gt;&lt;H1 style="color: #4c4c4c; font-weight: 300; font-size: 2.40307rem; margin: 0px 0px 1.55rem;"&gt;&lt;IMG class="image-1 jive-image" height="215" src="https://community.esri.com/legacyfs/online/431417_pastedImage_3.png" width="629" /&gt;&lt;/H1&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 12 Dec 2018 13:03:22 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419424#M873</guid>
      <dc:creator>zohrael_mouadane</dc:creator>
      <dc:date>2018-12-12T13:03:22Z</dc:date>
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    <item>
      <title>Re: HELLO EVERY ONE,</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419425#M874</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;A formula for EBK could probably be written, but it would be so complicated that no one would be able to understand it.&amp;nbsp; To understand EBK, you need to understand the procedure that generates the predictions.&amp;nbsp; There is more information in the documentation on Empirical Bayesian Kriging, but the general procedure is:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Subset the input data.&lt;/LI&gt;&lt;LI&gt;In each subset, estimate a semivariogram using maximum likelihood.&amp;nbsp; This semivariogram will have a relatively simple formula and will serve as the seed for simulations later.&lt;/LI&gt;&lt;LI&gt;Use the estimated semivariogram to simulate new values at each of the input point locations.&lt;/LI&gt;&lt;LI&gt;Estimate a new semivariogram from the simulated data values.&lt;/LI&gt;&lt;LI&gt;Simulate a new set of data from the seed semivariogram.&lt;/LI&gt;&lt;LI&gt;Repeat steps 4 and 5 many times (by default, 100 times).&amp;nbsp; This results in an empirical distribution of semivariograms in each subset.&lt;/LI&gt;&lt;LI&gt;Use the empirical distribution in each subset as a Bayesian prior and calculate the posterior distribution.&lt;/LI&gt;&lt;LI&gt;Finally, when making a prediction at a new location, identify the neighbors based on the search neighborhood and merge the posterior distributions from the subset associated with each neighbor.&amp;nbsp; The distributions will be weighted proportionally by the number of neighbors from that subset.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The only difference for EBK Regression Prediction is that in step 2, you will estimate a coefficient for the explanatory variables that you provide in addition to the semivariogram parameters.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 12 Dec 2018 14:42:25 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419425#M874</guid>
      <dc:creator>EricKrause</dc:creator>
      <dc:date>2018-12-12T14:42:25Z</dc:date>
    </item>
    <item>
      <title>Re: HELLO EVERY ONE,</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419426#M875</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;thank you for your answer, I already know the procedure that generates the predictions but at this stage I need the &lt;STRONG&gt;EBK regression prediction &lt;/STRONG&gt;formula ,I searched for it and couldn't found it.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 12 Dec 2018 15:07:15 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/hello-every-one/m-p/419426#M875</guid>
      <dc:creator>zohrael_mouadane</dc:creator>
      <dc:date>2018-12-12T15:07:15Z</dc:date>
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