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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="exp__family_8h-source.html">exp_family.h</a>&quot;</code><br>
71
72<p>
73<a href="emix_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
74<tr><td></td></tr>
75<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
76<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>
77
78<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">
79<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_62.png">
80<p>
81 where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_63.png">.  <a href="classbdm_1_1mratio.html#_details">More...</a><br></td></tr>
82<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>
83
84<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of epdfs.  <a href="classbdm_1_1emix.html#_details">More...</a><br></td></tr>
85<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egiwmix.html">bdm::egiwmix</a></td></tr>
86
87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mixture of egiws.  <a href="classbdm_1_1egiwmix.html#_details">More...</a><br></td></tr>
88<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>
89
90<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>
91<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>
92
93<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>
94<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>
95
96<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>
97<tr><td colspan="2"><br><h2>Defines</h2></td></tr>
98<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="07267dcd6834194cfed517197ab1e2ad"></a><!-- doxytag: member="emix.h::LOG2" ref="07267dcd6834194cfed517197ab1e2ad" args="" -->
99#define&nbsp;</td><td class="memItemRight" valign="bottom"><b>LOG2</b>&nbsp;&nbsp;&nbsp;0.69314718055995</td></tr>
100
101<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
102<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="428af356345f842c031e231cfae423fe"></a><!-- doxytag: member="emix.h::UIREGISTER" ref="428af356345f842c031e231cfae423fe" args="(mprod)" -->
103&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::UIREGISTER</b> (mprod)</td></tr>
104
105</table>
106<hr><a name="_details"></a><h2>Detailed Description</h2>
107Probability distributions for Mixtures of pdfs.
108<p>
109<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
110----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
111Using IT++ for numerical operations ----------------------------------- </div>
112<hr size="1"><address style="text-align: right;"><small>Generated on Wed Jul 1 13:05:56 2009 for mixpp by&nbsp;
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