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[106]1<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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[261]3<title>mixpp: emix.h File Reference</title>
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[261]21<h1>emix.h File Reference</h1>Probability distributions for Mixtures of pdfs. <a href="#_details">More...</a>
[106]22<p>
23<code>#include &quot;<a class="el" href="libBM_8h-source.html">libBM.h</a>&quot;</code><br>
24<code>#include &quot;<a class="el" href="libEF_8h-source.html">libEF.h</a>&quot;</code><br>
25
26<p>
27<div class="dynheader">
28Include dependency graph for emix.h:</div>
29<div class="dynsection">
[261]30<p><center><img src="emix_8h__incl.png" border="0" usemap="#emix.h_map" alt=""></center>
31<map name="emix.h_map">
32<area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="5,161,72,188"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="76,84,135,111"><area shape="rect" href="itpp__ext_8h-source.html" title="../itpp_ext.h" alt="" coords="56,316,152,343"><area shape="rect" href="chmat_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="96,161,219,188"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="112,239,179,265"></map>
[106]33</div>
34
35<p>
[139]36<div class="dynheader">
37This graph shows which files directly or indirectly include this file:</div>
38<div class="dynsection">
[261]39<p><center><img src="emix_8h__dep__incl.png" border="0" usemap="#emix.hdep_map" alt=""></center>
40<map name="emix.hdep_map">
41<area shape="rect" href="mixef_8h.html" title="Bayesian Filtering for mixtures of exponential family (EF) members." alt="" coords="12,84,79,111"><area shape="rect" href="merger_8h.html" title="Mergers for combination of pdfs." alt="" coords="5,161,85,188"></map>
[139]42</div>
43
44<p>
[106]45<a href="emix_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
46<tr><td></td></tr>
[255]47<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
[261]48<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>
[255]49
[106]50<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
[255]51<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mratio.html">bdm::mratio</a></td></tr>
[210]52
53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: <p class="formulaDsp">
54<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_79.png">
55<p>
[255]56 where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_80.png">.  <a href="classbdm_1_1mratio.html#_details">More...</a><br></td></tr>
57<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1emix.html">bdm::emix</a></td></tr>
[106]58
[255]59<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of epdfs.  <a href="classbdm_1_1emix.html#_details">More...</a><br></td></tr>
60<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mprod.html">bdm::mprod</a></td></tr>
[139]61
[255]62<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Chain rule decomposition of <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>.  <a href="classbdm_1_1mprod.html#_details">More...</a><br></td></tr>
63<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eprod.html">bdm::eprod</a></td></tr>
[171]64
[255]65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Product of independent epdfs. For dependent pdfs, use <a class="el" href="classbdm_1_1mprod.html" title="Chain rule decomposition of epdf.">mprod</a>.  <a href="classbdm_1_1eprod.html#_details">More...</a><br></td></tr>
66<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mmix.html">bdm::mmix</a></td></tr>
[139]67
[255]68<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of mpdfs with constant weights, all mpdfs are of equal type.  <a href="classbdm_1_1mmix.html#_details">More...</a><br></td></tr>
[106]69</table>
70<hr><a name="_details"></a><h2>Detailed Description</h2>
71Probability distributions for Mixtures of pdfs.
72<p>
73<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
74----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
75Using IT++ for numerical operations ----------------------------------- </div>
[261]76<hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 15:29:46 2009 for mixpp by&nbsp;
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