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[19]19<h1>work/mixpp/bdm/stat/libEF.h File Reference</h1>Probability distributions for Exponential Family models. <a href="#_details">More...</a>
[8]20<p>
21<code>#include &lt;itpp/itbase.h&gt;</code><br>
[19]22<code>#include &quot;<a class="el" href="libDC_8h-source.html">../math/libDC.h</a>&quot;</code><br>
23<code>#include &quot;<a class="el" href="libBM_8h-source.html">libBM.h</a>&quot;</code><br>
[32]24<code>#include &quot;../itpp_ext.h&quot;</code><br>
[8]25
26<p>
[19]27<div class="dynheader">
28Include dependency graph for libEF.h:</div>
29<div class="dynsection">
30<p><center><img src="libEF_8h__incl.png" border="0" usemap="#work/mixpp/bdm/stat/libEF.h_map" alt=""></center>
31<map name="work/mixpp/bdm/stat/libEF.h_map">
[91]32<area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="36,82,143,106"><area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="167,82,231,106"><area shape="rect" href="itpp__ext_8h&#45;source.html" title="../itpp_ext.h" alt="" coords="255,82,345,106"></map>
[19]33</div>
34
35<p>
[32]36<div class="dynheader">
37This graph shows which files directly or indirectly include this file:</div>
38<div class="dynsection">
39<p><center><img src="libEF_8h__dep__incl.png" border="0" usemap="#work/mixpp/bdm/stat/libEF.hdep_map" alt=""></center>
40<map name="work/mixpp/bdm/stat/libEF.hdep_map">
[139]41<area shape="rect" href="arx_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model." alt="" coords="195,84,397,111"><area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="569,84,777,111"><area shape="rect" href="libPF_8h.html" title="Bayesian Filtering using stochastic sampling (Particle Filters)." alt="" coords="841,84,1049,111"><area shape="rect" href="emix_8h.html" title="Probability distributions for Mixtures of pdfs." alt="" coords="1153,84,1356,111"><area shape="rect" href="sim__var__arx_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="5,161,251,188"><area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="275,161,520,188"><area shape="rect" href="sim__var_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="544,161,763,188"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="787,161,1187,188"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="1104,239,1344,265"></map>
[32]42</div>
43
44<p>
[8]45<a href="libEF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
46<tr><td></td></tr>
47<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
48<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classeEF.html">eEF</a></td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">General conjugate exponential family posterior density.  <a href="classeEF.html#_details">More...</a><br></td></tr>
[33]51<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmEF.html">mEF</a></td></tr>
[8]52
[33]53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Exponential family model.  <a href="classmEF.html#_details">More...</a><br></td></tr>
[8]54<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classenorm.html">enorm&lt; sq_T &gt;</a></td></tr>
55
[22]56<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Gaussian density with positive definite (decomposed) covariance matrix.  <a href="classenorm.html#_details">More...</a><br></td></tr>
[99]57<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classegiw.html">egiw</a></td></tr>
58
59<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Gauss-inverse-Wishart density stored in LD form.  <a href="classegiw.html#_details">More...</a><br></td></tr>
[32]60<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classegamma.html">egamma</a></td></tr>
[8]61
[32]62<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Gamma posterior density.  <a href="classegamma.html#_details">More...</a><br></td></tr>
63<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classeuni.html">euni</a></td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Uniform distributed density on a rectangular support.  <a href="classeuni.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="classmlnorm.html">mlnorm&lt; sq_T &gt;</a></td></tr>
67
68<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Normal distributed linear function with linear function of mean value;.  <a href="classmlnorm.html#_details">More...</a><br></td></tr>
69<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmgamma.html">mgamma</a></td></tr>
70
71<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Gamma random walk.  <a href="classmgamma.html#_details">More...</a><br></td></tr>
[79]72<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmgamma__fix.html">mgamma_fix</a></td></tr>
73
74<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Gamma random walk around a fixed point.  <a href="classmgamma__fix.html#_details">More...</a><br></td></tr>
[32]75<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classeEmp.html">eEmp</a></td></tr>
76
77<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Weighted empirical density.  <a href="classeEmp.html#_details">More...</a><br></td></tr>
78<tr><td colspan="2"><br><h2>Enumerations</h2></td></tr>
79<tr><td class="memItemLeft" nowrap align="right" valign="top">enum &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libEF_8h.html#99497a3ff630f761cf6bff7babd23212">RESAMPLING_METHOD</a> { <b>MULTINOMIAL</b> =  0,
80<b>STRATIFIED</b> =  1,
81<b>SYSTEMATIC</b> =  3
82 }</td></tr>
83
84<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Switch between various resampling methods. <br></td></tr>
85<tr><td colspan="2"><br><h2>Variables</h2></td></tr>
86<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="2ae7dcdfebede774dd1b1f16cad10dd9"></a><!-- doxytag: member="libEF.h::UniRNG" ref="2ae7dcdfebede774dd1b1f16cad10dd9" args="" -->
87Uniform_RNG&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libEF_8h.html#2ae7dcdfebede774dd1b1f16cad10dd9">UniRNG</a></td></tr>
88
89<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Global Uniform_RNG. <br></td></tr>
90<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="395c5925c8792aef3be4c360e91526c0"></a><!-- doxytag: member="libEF.h::NorRNG" ref="395c5925c8792aef3be4c360e91526c0" args="" -->
[33]91Normal_RNG&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libEF_8h.html#395c5925c8792aef3be4c360e91526c0">NorRNG</a></td></tr>
[32]92
[33]93<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Global Normal_RNG. <br></td></tr>
[32]94<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="884a8348c92a49725b78e2b6ab0bb802"></a><!-- doxytag: member="libEF.h::GamRNG" ref="884a8348c92a49725b78e2b6ab0bb802" args="" -->
[33]95<a class="el" href="classitpp_1_1Gamma__RNG.html">Gamma_RNG</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="libEF_8h.html#884a8348c92a49725b78e2b6ab0bb802">GamRNG</a></td></tr>
[32]96
[33]97<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Global Gamma_RNG. <br></td></tr>
[8]98</table>
99<hr><a name="_details"></a><h2>Detailed Description</h2>
100Probability distributions for Exponential Family models.
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>
[91]104Using IT++ for numerical operations ----------------------------------- </div>
[139]105<hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 16 11:58:45 2008 for mixpp by&nbsp;
[8]106<a href="http://www.doxygen.org/index.html">
[139]107<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
[8]108</body>
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