Changeset 608 for library/doc/html/intro.html
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library/doc/html/intro.html
r591 r608 94 94 </pre></div><p> Off-line estimation is implemented by method </p> 95 95 <div class="fragment"><pre class="fragment"> <span class="keywordtype">void</span> bayesB(mat D) 96 </pre></div><p>As an intermediate product, the bayes rule computes marginal likelihood of the data records <img class="formulaInl" alt="$ f(D) $" src="form_1 03.png"/>. Numerical value of this quantity which is important e.g. for model selection can be obtained by calling method <code>_ll()</code>.</p>96 </pre></div><p>As an intermediate product, the bayes rule computes marginal likelihood of the data records <img class="formulaInl" alt="$ f(D) $" src="form_114.png"/>. Numerical value of this quantity which is important e.g. for model selection can be obtained by calling method <code>_ll()</code>.</p> 97 97 <h2><a class="anchor" id="epdf"> 98 98 Getting results from BM</a></h2> … … 123 123 <p>The latter class is used to identify how symbolic variables are to be combined together. For example, consider the task of composition of pdfs via the chain rule: </p> 124 124 <p class="formulaDsp"> 125 <img class="formulaDsp" alt="\[ f(a,b,c) = f(a|b,c) f(b) f(c) \]" src="form_1 04.png"/>125 <img class="formulaDsp" alt="\[ f(a,b,c) = f(a|b,c) f(b) f(c) \]" src="form_115.png"/> 126 126 </p> 127 <p> In our setup, <img class="formulaInl" alt="$ f(a|b,c) $" src="form_1 05.png"/> is represented by an <code>mpdf</code> while <img class="formulaInl" alt="$ f(b) $" src="form_106.png"/> and <img class="formulaInl" alt="$ f(c) $" src="form_107.png"/> by two <code>epdfs</code>. We need to distinguish the latter two from each other and to deside in which order they should be added to the mpdf. This distinction is facilitated by the class <code>RV</code> which uniquely identify a random varibale.</p>127 <p> In our setup, <img class="formulaInl" alt="$ f(a|b,c) $" src="form_116.png"/> is represented by an <code>mpdf</code> while <img class="formulaInl" alt="$ f(b) $" src="form_117.png"/> and <img class="formulaInl" alt="$ f(c) $" src="form_118.png"/> by two <code>epdfs</code>. We need to distinguish the latter two from each other and to deside in which order they should be added to the mpdf. This distinction is facilitated by the class <code>RV</code> which uniquely identify a random varibale.</p> 128 128 <p>Therefore, each pdf keeps record on which RVs it represents; <code>epdf</code> needs to know only one <code>RV</code> stored in the attribute <code>rv</code>; <code>mpdf</code> needs to keep two <code>RVs</code>, one for variable on which it is defined (<code>rv</code>) and one for variable incondition which is stored in attribute <code>rvc</code>. </p> 129 129 </div> 130 <hr size="1"/><address style="text-align: right;"><small>Generated on Sun Aug 30 22:10:492009 for mixpp by 130 <hr size="1"/><address style="text-align: right;"><small>Generated on Tue Sep 8 22:11:32 2009 for mixpp by 131 131 <a href="http://www.doxygen.org/index.html"> 132 132 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address>