[Pomp-commits] r1126 - www/vignettes

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Mon Mar 2 02:25:09 CET 2015


Author: kingaa
Date: 2015-03-02 02:25:08 +0100 (Mon, 02 Mar 2015)
New Revision: 1126

Modified:
   www/vignettes/getting_started.html
Log:
- updated

Modified: www/vignettes/getting_started.html
===================================================================
--- www/vignettes/getting_started.html	2015-03-01 23:55:21 UTC (rev 1125)
+++ www/vignettes/getting_started.html	2015-03-02 01:25:08 UTC (rev 1126)
@@ -85,7 +85,7 @@
 </div>
 
 <p>Licensed under the <a href="http://creativecommons.org/licenses/by-nc/3.0">Creative Commons attribution-noncommercial license</a>. Please share and remix noncommercially, mentioning its origin.<br /><img 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" alt="CC-BY_NC" /></p>
-<p>This document compiled with <code>pomp</code> version 0.62.2.</p>
+<p>This document compiled with <code>pomp</code> version 0.62.4.</p>
 <div id="partially-observed-markov-process-pomp-models" class="section level2">
 <h2>Partially observed Markov process (POMP) models</h2>
 <p>As its name implies <code>pomp</code> is focused on partially observed Markov process models. These are also known as state-space model, hidden Markov models, and stochastic dynamical systems models. Such models consist of an unobserved stochastic <em>state process</em>, connected to the data via an explicit model of the observation process. We refer to the former as the <em>process model</em> and the latter as the <em>measurement model</em>. Each model is, in fact, a probability distribution. If we let <span class="math">\(Y_t\)</span> denote the measurement process at time <span class="math">\(t\)</span> and <span class="math">\(X_t\)</span> the state process, then by definition, the process model is determined by the density <span class="math">\(f_{X_t|X_{t-1}}\)</span> and the measurement process by the density <span class="math">\(f_{Y_t|X_t}\)</span>. We think of the data, <span class="math">\(y^*_t\)</span>, <span class="math">\(t=1,\dots,T\)</span> as being a single realization of the <span class="math">\(Y\)</span> process. To implement a POMP model in <code>pomp</code>, we have to specify the measurement and process distributions.</p>



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