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67<h1>libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. 
68<a href="#_details">More...</a>
69<p>
70<code>#include &lt;map&gt;</code><br>
71<code>#include &quot;../itpp_ext.h&quot;</code><br>
72<code>#include &quot;<a class="el" href="bdmroot_8h-source.html">../bdmroot.h</a>&quot;</code><br>
73<code>#include &quot;../user_info.h&quot;</code><br>
74
75<p>
76<a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
77<tr><td></td></tr>
78<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
79<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>
80
81<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 - TODO tak proc je ve verejnem prostoru jmen? upravit.  <a href="classbdm_1_1str.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_1RV.html">bdm::RV</a></td></tr>
83
84<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>
85<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>
86
87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_39.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>
88<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>
89
90<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>
91<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>
92
93<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>
94<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink.html">bdm::datalink</a></td></tr>
95
96<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">DataLink is a connection between two data vectors Up and Down.  <a href="classbdm_1_1datalink.html#_details">More...</a><br></td></tr>
97<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>
98
99<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>
100<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>
101
102<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>
103
104<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Class for storing results (and semi-results) of an experiment.  <a href="classbdm_1_1logger.html#_details">More...</a><br></td></tr>
105<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>
106
107<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>
108<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>
109
110<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Chain rule of pdfs - abstract part common for <a class="el" href="classbdm_1_1mprod.html" title="Chain rule decomposition of epdf.">mprod</a> and merger. 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>
111<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>
112
113<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>
114<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>
115
116<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.  <a href="classbdm_1_1BM.html#_details">More...</a><br></td></tr>
117<tr><td colspan="2"><br><h2>Typedefs</h2></td></tr>
118<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="547ee25cd5e6bae90105936ec4264257"></a><!-- doxytag: member="libBM.h::RVmap" ref="547ee25cd5e6bae90105936ec4264257" args="" -->
119typedef std::map&lt; string, int &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::RVmap</b></td></tr>
120
121<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
122<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5a5785a480905a61870c3d56cc2c9846"></a><!-- doxytag: member="libBM.h::UIREGISTER" ref="5a5785a480905a61870c3d56cc2c9846" args="(RV)" -->
123&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::UIREGISTER</b> (RV)</td></tr>
124
125<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)" -->
126RV&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>
127
128<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Concat two random variables. <br></td></tr>
129<tr><td colspan="2"><br><h2>Variables</h2></td></tr>
130<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="58a0ee51fd426e38101eb99e7c42a65e"></a><!-- doxytag: member="libBM.h::RV_SIZES" ref="58a0ee51fd426e38101eb99e7c42a65e" args="" -->
131ivec&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::RV_SIZES</b></td></tr>
132
133<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="81ac40e336bdac971cd2e60fe2fb2deb"></a><!-- doxytag: member="libBM.h::RV_NAMES" ref="81ac40e336bdac971cd2e60fe2fb2deb" args="" -->
134Array&lt; string &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm::RV_NAMES</b></td></tr>
135
136</table>
137<hr><a name="_details"></a><h2>Detailed Description</h2>
138Bayesian Models (bm) that use Bayes rule to learn from observations.
139<p>
140<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
141----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
142Using IT++ for numerical operations ----------------------------------- </div>
143<hr size="1"><address style="text-align: right;"><small>Generated on Wed Jun 17 14:13:28 2009 for mixpp by&nbsp;
144<a href="http://www.doxygen.org/index.html">
145<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address>
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