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21<h1>libPF.h File Reference</h1>Bayesian Filtering using stochastic sampling (Particle Filters). <a href="#_details">More...</a>
22<p>
23<code>#include &quot;<a class="el" href="libEF_8h-source.html">../stat/libEF.h</a>&quot;</code><br>
24
25<p>
26<div class="dynheader">
27Include dependency graph for libPF.h:</div>
28<div class="dynsection">
29<p><center><img src="libPF_8h__incl.png" border="0" usemap="#libPF.h_map" alt=""></center>
30<map name="libPF.h_map">
31<area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="36,84,137,111"><area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="5,239,72,265"><area shape="rect" href="chmat_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="75,161,197,188"><area shape="rect" href="itpp__ext_8h-source.html" title="../itpp_ext.h" alt="" coords="37,316,133,343"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="100,239,167,265"></map>
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33
34<p>
35<a href="libPF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
36<tr><td></td></tr>
37<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
38<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html">bdm</a></td></tr>
39
40<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
41<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1PF.html">bdm::PF</a></td></tr>
42
43<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Trivial particle filter with proposal density equal to parameter evolution model.  <a href="classbdm_1_1PF.html#_details">More...</a><br></td></tr>
44<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MPF.html">bdm::MPF&lt; BM_T &gt;</a></td></tr>
45
46<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Marginalized Particle filter.  <a href="classbdm_1_1MPF.html#_details">More...</a><br></td></tr>
47<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::MPF&lt; BM_T &gt;::mpfepdf</b></td></tr>
48
49<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">internal class for MPDF providing composition of <a class="el" href="classbdm_1_1eEmp.html" title="Weighted empirical density.">eEmp</a> with external components <br></td></tr>
50</table>
51<hr><a name="_details"></a><h2>Detailed Description</h2>
52Bayesian Filtering using stochastic sampling (Particle Filters).
53<p>
54<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
55----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
56Using IT++ for numerical operations ----------------------------------- </div>
57<hr size="1"><address style="text-align: right;"><small>Generated on Wed Feb 11 10:20:17 2009 for mixpp by&nbsp;
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