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3<title>mixpp: BM Class Reference</title>
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9  <ul>
10    <li><a href="index.html"><span>Main&nbsp;Page</span></a></li>
11    <li class="current"><a href="annotated.html"><span>Classes</span></a></li>
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16  <ul>
17    <li><a href="annotated.html"><span>Class&nbsp;List</span></a></li>
18    <li><a href="hierarchy.html"><span>Class&nbsp;Hierarchy</span></a></li>
19    <li><a href="functions.html"><span>Class&nbsp;Members</span></a></li>
20  </ul>
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22<h1>BM Class Reference</h1><!-- doxytag: class="BM" -->Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 
23<a href="#_details">More...</a>
24<p>
25<code>#include &lt;<a class="el" href="libBM_8h-source.html">libBM.h</a>&gt;</code>
26<p>
27<div class="dynheader">
28Inheritance diagram for BM:</div>
29<div class="dynsection">
30<p><center><img src="classBM__inherit__graph.png" border="0" usemap="#BM__inherit__map" alt="Inheritance graph"></center>
31<map name="BM__inherit__map">
32<area shape="rect" href="classKalman.html" title="Kalman filter with covaraince matrices in square root form." alt="" coords="5,84,133,111"><area shape="rect" href="classKalmanFull.html" title="Basic Kalman filter with full matrices (education purpose only)! Will be deleted..." alt="" coords="157,84,248,111"><area shape="rect" href="classPF.html" title="A Particle Filter prototype." alt="" coords="272,84,309,111"><area shape="rect" href="classTrivialPF.html" title="Trivial particle filter with proposal density that is not conditioned on the data..." alt="" coords="255,161,327,188"></map>
33<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
34
35<p>
36<a href="classBM-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
37<tr><td></td></tr>
38<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
39<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#c52edf4ad6e1dff9bf64b9e1e0cfb1f0">bayes</a> (const vec &amp;dt, bool evall=true)=0</td></tr>
40
41<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Incremental Bayes rule.  <a href="#c52edf4ad6e1dff9bf64b9e1e0cfb1f0"></a><br></td></tr>
42<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87b07867fd4c133aa89a18543f68d9f9"></a><!-- doxytag: member="BM::bayes" ref="87b07867fd4c133aa89a18543f68d9f9" args="(mat Dt)" -->
43void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87b07867fd4c133aa89a18543f68d9f9">bayes</a> (mat Dt)</td></tr>
44
45<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr>
46<tr><td colspan="2"><br><h2>Public Attributes</h2></td></tr>
47<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="BM::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" -->
48double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr>
51</table>
52<hr><a name="_details"></a><h2>Detailed Description</h2>
53Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. <hr><h2>Member Function Documentation</h2>
54<a class="anchor" name="c52edf4ad6e1dff9bf64b9e1e0cfb1f0"></a><!-- doxytag: member="BM::bayes" ref="c52edf4ad6e1dff9bf64b9e1e0cfb1f0" args="(const vec &amp;dt, bool evall=true)=0" -->
55<div class="memitem">
56<div class="memproto">
57      <table class="memname">
58        <tr>
59          <td class="memname">virtual void BM::bayes           </td>
60          <td>(</td>
61          <td class="paramtype">const vec &amp;&nbsp;</td>
62          <td class="paramname"> <em>dt</em>, </td>
63        </tr>
64        <tr>
65          <td class="paramkey"></td>
66          <td></td>
67          <td class="paramtype">bool&nbsp;</td>
68          <td class="paramname"> <em>evall</em> = <code>true</code></td><td>&nbsp;</td>
69        </tr>
70        <tr>
71          <td></td>
72          <td>)</td>
73          <td></td><td></td><td width="100%"><code> [pure virtual]</code></td>
74        </tr>
75      </table>
76</div>
77<div class="memdoc">
78
79<p>
80Incremental Bayes rule.
81<p>
82<dl compact><dt><b>Parameters:</b></dt><dd>
83  <table border="0" cellspacing="2" cellpadding="0">
84    <tr><td valign="top"></td><td valign="top"><em>dt</em>&nbsp;</td><td>vector of input data </td></tr>
85    <tr><td valign="top"></td><td valign="top"><em>evall</em>&nbsp;</td><td>If true, the filter will compute likelihood of the data record and store it in <code>ll</code> </td></tr>
86  </table>
87</dl>
88
89<p>Implemented in <a class="el" href="classKalmanFull.html#048b13739b94c331cda08249b278552b">KalmanFull</a>, <a class="el" href="classKalman.html#e945d9205ca14acbd83ba80ea6f72b8e">Kalman&lt; sq_T &gt;</a>, <a class="el" href="classPF.html#eb06bd7d4325f22f54233967295793b9">PF</a>, and <a class="el" href="classTrivialPF.html#77a92bf054d763f806d27fc37a058389">TrivialPF</a>.</p>
90
91</div>
92</div><p>
93<hr>The documentation for this class was generated from the following file:<ul>
94<li>work/mixpp/bdm/stat/<a class="el" href="libBM_8h-source.html">libBM.h</a></ul>
95<hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 15 18:57:41 2008 for mixpp by&nbsp;
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