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67<h1>emix.h File Reference</h1>Probability distributions for Mixtures of pdfs. 
68<a href="#_details">More...</a>
69<p>
70<code>#include &quot;<a class="el" href="libBM_8h-source.html">libBM.h</a>&quot;</code><br>
71<code>#include &quot;<a class="el" href="libEF_8h-source.html">libEF.h</a>&quot;</code><br>
72
73<p>
74<a href="emix_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
75<tr><td></td></tr>
76<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
77<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>
78
79<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">
80<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_36.png">
81<p>
82 where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_37.png">.  <a href="classbdm_1_1mratio.html#_details">More...</a><br></td></tr>
83<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>
84
85<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of epdfs.  <a href="classbdm_1_1emix.html#_details">More...</a><br></td></tr>
86<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>
87
88<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>
89<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>
90
91<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>
92<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>
93
94<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>
95</table>
96<hr><a name="_details"></a><h2>Detailed Description</h2>
97Probability distributions for Mixtures of pdfs.
98<p>
99<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
100----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
101Using IT++ for numerical operations ----------------------------------- </div>
102<hr size="1"><address style="text-align: right;"><small>Generated on Thu Apr 23 21:06:43 2009 for mixpp by&nbsp;
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