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[145]3<title>mixpp: work/git/mixpp/bdm/stat/emix.h File Reference</title>
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[145]20<h1>work/git/mixpp/bdm/stat/emix.h File Reference</h1>Probability distributions for Mixtures of pdfs. <a href="#_details">More...</a>
[106]21<p>
22<code>#include &quot;<a class="el" href="libBM_8h-source.html">libBM.h</a>&quot;</code><br>
23<code>#include &quot;<a class="el" href="libEF_8h-source.html">libEF.h</a>&quot;</code><br>
24
25<p>
26<div class="dynheader">
27Include dependency graph for emix.h:</div>
28<div class="dynsection">
[145]29<p><center><img src="emix_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/emix.h_map" alt=""></center>
30<map name="work/git/mixpp/bdm/stat/emix.h_map">
[210]31<area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="47,161,113,188"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="121,84,180,111"><area shape="rect" href="itpp__ext_8h-source.html" title="../itpp_ext.h" alt="" coords="115,239,211,265"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="188,161,303,188"></map>
[106]32</div>
33
34<p>
[139]35<div class="dynheader">
36This graph shows which files directly or indirectly include this file:</div>
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[145]38<p><center><img src="emix_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/emix.hdep_map" alt=""></center>
39<map name="work/git/mixpp/bdm/stat/emix.hdep_map">
[180]40<area shape="rect" href="mixef_8h.html" title="Bayesian Filtering for mixtures of exponential family (EF) members." alt="" coords="12,84,247,111"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="271,84,529,111"><area shape="rect" href="merger_8h.html" title="Mergers for combination of pdfs." alt="" coords="5,161,253,188"></map>
[139]41</div>
42
43<p>
[106]44<a href="emix_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
45<tr><td></td></tr>
[255]46<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
47<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm</b></td></tr>
48
[106]49<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
[255]50<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]51
52<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">
53<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_79.png">
54<p>
[255]55 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>
56<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]57
[255]58<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of epdfs.  <a href="classbdm_1_1emix.html#_details">More...</a><br></td></tr>
59<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]60
[255]61<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>
62<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]63
[255]64<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>
65<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]66
[255]67<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]68</table>
69<hr><a name="_details"></a><h2>Detailed Description</h2>
70Probability distributions for Mixtures of pdfs.
71<p>
72<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
73----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
74Using IT++ for numerical operations ----------------------------------- </div>
[255]75<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:30:03 2009 for mixpp by&nbsp;
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