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10/15/09 00:10:19 (15 years ago)
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  • library/doc/html/user_guide2.html

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     61  <div class="navpath"><a class="el" href="dev_guide.html">BDM Use - in C++</a>&nbsp;&raquo&nbsp;<a class="el" href="kalman.html">Examples of (extended) Kalman filtering</a> 
     62  </div> 
    6163</div> 
    6264<div class="contents"> 
     
    105107<ul> 
    106108<li>logbounds - store also lower and upper bounds on estimates (obtained by calling BM::posterior().qbounds()),</li> 
    107 <li>logll - store also loglikelihood of each step of the Bayes rule. These values are stored in given logger (ug_loggers). By default, only mean values of the estimate are stored.</li> 
     109<li>logll - store also loglikelihood of each step of the Bayes rule. These values are stored in given logger (<a class="el" href="user_guide.html#ug_loggers">Loggers for flexible handling of results</a>). By default, only mean values of the estimate are stored.</li> 
    108110</ul> 
    109111<p>Storing of the log-likelihood is useful, e.g. in model selection task when two models are compared.</p> 
     
    193195 <p>Note: error bars in this case are not directly comparable with those of previous examples. The MPF class implements the qbounds function as minimum and maximum of bounds in the condidered set (even if its weight is extreemly small). Hence, the bounds of the MPF are probably larger than it should be. Nevertheless, they provide great help when designing and tuning algorithms. </p> 
    194196</div> 
    195 <hr size="1"/><address style="text-align: right;"><small>Generated on Mon Oct 12 19:37:19 2009 for mixpp by&nbsp; 
     197<hr size="1"/><address style="text-align: right;"><small>Generated on Wed Oct 14 23:00:33 2009 for mixpp by&nbsp; 
    196198<a href="http://www.doxygen.org/index.html"> 
    197199<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address>