Changeset 323 for doc/html/classbdm_1_1MixEF.html

Timestamp:

04/23/09 21:12:23 (15 years ago)

Author:

smidl

Message:

doc

Files:

• doc/html/classbdm_1_1MixEF.html (modified) (5 diffs)

doc/html/classbdm_1_1MixEF.html

@@ -115 +115 @@
 <a class="el" href="classbdm_1_1emix.html">emix</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MixEF.html#edc50e9640f049b846084748b18469a2">epredictor</a> () const </td></tr>
 
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructs a predictive density <img class="formulaInl" alt="$ f(d_{t+1} |d_{t}, \ldots d_{0}) $" src="form_49.png">. <br></td></tr>
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructs a predictive density <img class="formulaInl" alt="$ f(d_{t+1} |d_{t}, \ldots d_{0}) $" src="form_53.png">. <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f0dfb4375fef4e61c4cb062e5bac7c8c"></a><!-- doxytag: member="bdm::MixEF::flatten" ref="f0dfb4375fef4e61c4cb062e5bac7c8c" args="(const BMEF *M2)" -->
 void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MixEF.html#f0dfb4375fef4e61c4cb062e5bac7c8c">flatten</a> (const <a class="el" href="classbdm_1_1BMEF.html">BMEF</a> *M2)</td></tr>
@@ -182 +182 @@
 Array&lt; <a class="el" href="classbdm_1_1BMEF.html">BMEF</a> * &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MixEF.html#90c21ab5a2af56d4b49e2eaef6eccc08">Coms</a></td></tr>
 
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Models for Components of <img class="formulaInl" alt="$\theta_i$" src="form_15.png">. <br></td></tr>
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Models for Components of <img class="formulaInl" alt="$\theta_i$" src="form_17.png">. <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e39faa70cebadc3296bd249040105e86"></a><!-- doxytag: member="bdm::MixEF::weights" ref="e39faa70cebadc3296bd249040105e86" args="" -->
 <a class="el" href="classbdm_1_1multiBM.html">multiBM</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MixEF.html#e39faa70cebadc3296bd249040105e86">weights</a></td></tr>
@@ -234 +234 @@
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set boolean options from a string. <br></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="aa5d1f7e638db229403e3917bf155ee3"></a><!-- doxytag: member="bdm::MixEF::log_add" ref="aa5d1f7e638db229403e3917bf155ee3" args="(logger *L, const string &amp;name=&quot;&quot;)" -->
-void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#aa5d1f7e638db229403e3917bf155ee3">log_add</a> (<a class="el" href="classbdm_1_1logger.html">logger</a> *L, const string &amp;name=&quot;&quot;)</td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="2298ca6af9b13a78a4c9e18ab43f1827"></a><!-- doxytag: member="bdm::MixEF::log_add" ref="2298ca6af9b13a78a4c9e18ab43f1827" args="(logger &amp;L, const string &amp;name=&quot;&quot;)" -->
+virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#2298ca6af9b13a78a4c9e18ab43f1827">log_add</a> (<a class="el" href="classbdm_1_1logger.html">logger</a> &amp;L, const string &amp;name=&quot;&quot;)</td></tr>
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Add all logged variables to a <a class="el" href="classbdm_1_1logger.html" title="Class for storing results (and semi-results) of an experiment.">logger</a>. <br></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0647606eefbf294623bf664971c7d461"></a><!-- doxytag: member="bdm::MixEF::logit" ref="0647606eefbf294623bf664971c7d461" args="(logger *L)" -->
-void&nbsp;</td><td class="memItemRight" valign="bottom"><b>logit</b> (<a class="el" href="classbdm_1_1logger.html">logger</a> *L)</td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b517e1679eaa94e803ea4cd0b8efbcd7"></a><!-- doxytag: member="bdm::MixEF::logit" ref="b517e1679eaa94e803ea4cd0b8efbcd7" args="(logger &amp;L)" -->
+virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><b>logit</b> (<a class="el" href="classbdm_1_1logger.html">logger</a> &amp;L)</td></tr>
 
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="109c1a626a69031658e3a44e9e500cca"></a><!-- doxytag: member="bdm::MixEF::LIDs" ref="109c1a626a69031658e3a44e9e500cca" args="" -->
@@ -254 +254 @@
 <p>
 An approximate estimation method for models with latent discrete variable, such as mixture models of the following kind: <p class="formulaDsp">
-<img class="formulaDsp" alt="\[ f(y_t|\psi_t, \Theta) = \sum_{i=1}^{n} w_i f(y_t|\psi_t, \theta_i) \]" src="form_12.png">
-<p>
- where <img class="formulaInl" alt="$\psi$" src="form_13.png"> is a known function of past outputs, <img class="formulaInl" alt="$w=[w_1,\ldots,w_n]$" src="form_14.png"> are component weights, and component parameters <img class="formulaInl" alt="$\theta_i$" src="form_15.png"> are assumed to be mutually independent. <img class="formulaInl" alt="$\Theta$" src="form_16.png"> is an aggregation af all component parameters and weights, i.e. <img class="formulaInl" alt="$\Theta = [\theta_1,\ldots,\theta_n,w]$" src="form_17.png">.<p>
+<img class="formulaDsp" alt="\[ f(y_t|\psi_t, \Theta) = \sum_{i=1}^{n} w_i f(y_t|\psi_t, \theta_i) \]" src="form_14.png">
+<p>
+ where <img class="formulaInl" alt="$\psi$" src="form_15.png"> is a known function of past outputs, <img class="formulaInl" alt="$w=[w_1,\ldots,w_n]$" src="form_16.png"> are component weights, and component parameters <img class="formulaInl" alt="$\theta_i$" src="form_17.png"> are assumed to be mutually independent. <img class="formulaInl" alt="$\Theta$" src="form_18.png"> is an aggregation af all component parameters and weights, i.e. <img class="formulaInl" alt="$\Theta = [\theta_1,\ldots,\theta_n,w]$" src="form_19.png">.<p>
 The characteristic feature of this model is that if the exact values of the latent variable were known, estimation of the parameters can be handled by a single model. For example, for the case of mixture models, posterior density for each component parameters would be a BayesianModel from Exponential Family.<p>
 This class uses EM-style type algorithms for estimation of its parameters. Under this simplification, the posterior density is a product of exponential family members, hence under EM-style approximate estimation this class itself belongs to the exponential family.<p>
@@ -335 +335 @@
 <li><a class="el" href="mixef_8h-source.html">mixef.h</a><li>mixef.cpp</ul>
 </div>
-<hr size="1"><address style="text-align: right;"><small>Generated on Thu Apr 9 14:33:21 2009 for mixpp by&nbsp;
+<hr size="1"><address style="text-align: right;"><small>Generated on Thu Apr 23 21:06:45 2009 for mixpp by&nbsp;
 <a href="http://www.doxygen.org/index.html">
 <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address>