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19<h1>work/git/mixpp/bdm/stat/libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. <a href="#_details">More...</a>
20<p>
21<code>#include &lt;itpp/itbase.h&gt;</code><br>
22<code>#include &quot;../itpp_ext.h&quot;</code><br>
23
24<p>
25<div class="dynheader">
26Include dependency graph for libBM.h:</div>
27<div class="dynsection">
28<p><center><img src="libBM_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/libBM.h_map" alt=""></center>
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32
33<p>
34<div class="dynheader">
35This graph shows which files directly or indirectly include this file:</div>
36<div class="dynsection">
37<p><center><img src="libBM_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/stat/libBM.hdep_map" alt=""></center>
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40</div>
41
42<p>
43<a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
44<tr><td></td></tr>
45<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
46<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classstr.html">str</a></td></tr>
47
48<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Structure of <a class="el" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs.  <a href="classstr.html#_details">More...</a><br></td></tr>
49<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classRV.html">RV</a></td></tr>
50
51<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing variables, most often random variables.  <a href="classRV.html#_details">More...</a><br></td></tr>
52<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfnc.html">fnc</a></td></tr>
53
54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_35.png"> of variable <img class="formulaInl" alt="$x$" src="form_28.png"> represented by <code>rv</code>.  <a href="classfnc.html#_details">More...</a><br></td></tr>
55<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classepdf.html">epdf</a></td></tr>
56
57<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Probability density function with numerical statistics, e.g. posterior density.  <a href="classepdf.html#_details">More...</a><br></td></tr>
58<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmpdf.html">mpdf</a></td></tr>
59
60<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional probability density, e.g. modeling some dependencies.  <a href="classmpdf.html#_details">More...</a><br></td></tr>
61<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classdatalink__e2e.html">datalink_e2e</a></td></tr>
62
63<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classdatalink__m2e.html">datalink_m2e</a></td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">data link between  <a href="classdatalink__m2e.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="classdatalink__m2m.html">datalink_m2m</a></td></tr>
67
68<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmepdf.html">mepdf</a></td></tr>
69
70<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Unconditional <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>.  <a href="classmepdf.html#_details">More...</a><br></td></tr>
71<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcompositepdf.html">compositepdf</a></td></tr>
72
73<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract composition of pdfs, a base for specific classes this abstract class is common to <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>.  <a href="classcompositepdf.html#_details">More...</a><br></td></tr>
74<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classDS.html">DS</a></td></tr>
75
76<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract class for discrete-time sources of data.  <a href="classDS.html#_details">More...</a><br></td></tr>
77<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html">BM</a></td></tr>
78
79<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.  <a href="classBM.html#_details">More...</a><br></td></tr>
80<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBMcond.html">BMcond</a></td></tr>
81
82<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional Bayesian Filter.  <a href="classBMcond.html#_details">More...</a><br></td></tr>
83<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
84<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="33c114e83980d883c5b211c47d5322a4"></a><!-- doxytag: member="libBM.h::concat" ref="33c114e83980d883c5b211c47d5322a4" args="(const RV &amp;rv1, const RV &amp;rv2)" -->
85<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libBM_8h.html#33c114e83980d883c5b211c47d5322a4">concat</a> (const <a class="el" href="classRV.html">RV</a> &amp;rv1, const <a class="el" href="classRV.html">RV</a> &amp;rv2)</td></tr>
86
87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Concat two random variables. <br></td></tr>
88</table>
89<hr><a name="_details"></a><h2>Detailed Description</h2>
90Bayesian Models (bm) that use Bayes rule to learn from observations.
91<p>
92<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
93----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
94Using IT++ for numerical operations ----------------------------------- </div>
95<hr size="1"><address style="text-align: right;"><small>Generated on Wed Nov 12 20:46:07 2008 for mixpp by&nbsp;
96<a href="http://www.doxygen.org/index.html">
97<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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