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21<h1>libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. <a href="#_details">More...</a>
22<p>
23<code>#include &quot;../itpp_ext.h&quot;</code><br>
24
25<p>
26<div class="dynheader">
27Include dependency graph for libBM.h:</div>
28<div class="dynsection">
29<p><center><img src="libBM_8h__incl.png" border="0" usemap="#libBM.h_map" alt=""></center>
30<map name="libBM.h_map">
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35<div class="dynheader">
36This graph shows which files directly or indirectly include this file:</div>
37<div class="dynsection">
38<p><center><img src="libBM_8h__dep__incl.png" border="0" usemap="#libBM.hdep_map" alt=""></center>
39<map name="libBM.hdep_map">
40<area shape="rect" href="libFN_8h-source.html" title="libFN.h" alt="" coords="120,84,184,111"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="289,84,348,111"><area shape="rect" href="emix_8h.html" title="Probability distributions for Mixtures of pdfs." alt="" coords="372,161,436,188"><area shape="rect" href="libDS_8h.html" title="Common DataSources." alt="" coords="460,161,527,188"><area shape="rect" href="loggers_8h.html" title="Loggers for storing results of experiments." alt="" coords="483,84,563,111"><area shape="rect" href="uibuilder_8h-source.html" title="uibuilder.h" alt="" coords="587,84,672,111"><area shape="rect" href="arx_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model." alt="" coords="28,161,81,188"><area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="156,161,215,188"><area shape="rect" href="mixef_8h.html" title="Bayesian Filtering for mixtures of exponential family (EF) members." alt="" coords="253,239,320,265"><area shape="rect" href="arx__test_8cpp.html" title="Test of basic elements of the ARX class." alt="" coords="5,239,104,265"><area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="133,239,229,265"><area shape="rect" href="merger_8h.html" title="Mergers for combination of pdfs." alt="" coords="247,316,327,343"><area shape="rect" href="libPF_8h.html" title="Bayesian Filtering using stochastic sampling (Particle Filters)." alt="" coords="289,161,348,188"><area shape="rect" href="libDS__ui_8h.html" title="UI for Common DataSources." alt="" coords="505,239,588,265"><area shape="rect" href="UIArxDS__test_8cpp.html" title="Test of UI builders for ARX." alt="" coords="480,316,613,343"><area shape="rect" href="loggers__ui_8h.html" title="UI builders for Loggers." alt="" coords="551,161,649,188"></map>
41</div>
42
43<p>
44<a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
45<tr><td></td></tr>
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"><a class="el" href="namespacebdm.html">bdm</a></td></tr>
48
49<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
50<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1bdmroot.html">bdm::bdmroot</a></td></tr>
51
52<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Root class of BDM objects.  <a href="classbdm_1_1bdmroot.html#_details">More...</a><br></td></tr>
53<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1str.html">bdm::str</a></td></tr>
54
55<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Structure of <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs.  <a href="classbdm_1_1str.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_1RV.html">bdm::RV</a></td></tr>
57
58<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing variables, most often random variables.  <a href="classbdm_1_1RV.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_1fnc.html">bdm::fnc</a></td></tr>
60
61<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="classbdm_1_1fnc.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_1epdf.html">bdm::epdf</a></td></tr>
63
64<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Probability density function with numerical statistics, e.g. posterior density.  <a href="classbdm_1_1epdf.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_1mpdf.html">bdm::mpdf</a></td></tr>
66
67<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional probability density, e.g. modeling some dependencies.  <a href="classbdm_1_1mpdf.html#_details">More...</a><br></td></tr>
68<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1logger.html">bdm::logger</a></td></tr>
69
70<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">DataLink is a connection between two data vectors Up and Down.  <a href="classbdm_1_1logger.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"><b>bdm::datalink_e2e</b></td></tr>
72
73<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2e.html">bdm::datalink_m2e</a></td></tr>
74
75<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">data link between  <a href="classbdm_1_1datalink__m2e.html#_details">More...</a><br></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_1datalink__m2m.html">bdm::datalink_m2m</a></td></tr>
77
78<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mepdf.html">bdm::mepdf</a></td></tr>
79
80<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Unconditional <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a><a href="classbdm_1_1mepdf.html#_details">More...</a><br></td></tr>
81<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1compositepdf.html">bdm::compositepdf</a></td></tr>
82
83<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract composition of pdfs, will be used for specific classes this abstract class is common to <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a><a href="classbdm_1_1compositepdf.html#_details">More...</a><br></td></tr>
84<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1DS.html">bdm::DS</a></td></tr>
85
86<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Abstract class for discrete-time sources of data.  <a href="classbdm_1_1DS.html#_details">More...</a><br></td></tr>
87<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td></tr>
88
89<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.  <a href="classbdm_1_1BM.html#_details">More...</a><br></td></tr>
90<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BMcond.html">bdm::BMcond</a></td></tr>
91
92<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Conditional Bayesian Filter.  <a href="classbdm_1_1BMcond.html#_details">More...</a><br></td></tr>
93<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
94<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b9016687c0e874ca5cdcf75ae28811aa"></a><!-- doxytag: member="libBM.h::concat" ref="b9016687c0e874ca5cdcf75ae28811aa" args="(const RV &amp;rv1, const RV &amp;rv2)" -->
95RV&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html#b9016687c0e874ca5cdcf75ae28811aa">bdm::concat</a> (const RV &amp;rv1, const RV &amp;rv2)</td></tr>
96
97<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Concat two random variables. <br></td></tr>
98</table>
99<hr><a name="_details"></a><h2>Detailed Description</h2>
100Bayesian Models (bm) that use Bayes rule to learn from observations.
101<p>
102<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
103----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
104Using IT++ for numerical operations ----------------------------------- </div>
105<hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 19:49:51 2009 for mixpp by&nbsp;
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107<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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