| 59 | <tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#a892eff438aab2dd1a9e2efcb7fb5bdf">bayes</a> (const vec &dt)=0</td></tr> |
| 60 | |
| 61 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Incremental Bayes rule. <a href="#a892eff438aab2dd1a9e2efcb7fb5bdf"></a><br></td></tr> |
| 62 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87b07867fd4c133aa89a18543f68d9f9"></a><!-- doxytag: member="Kalman::bayes" ref="87b07867fd4c133aa89a18543f68d9f9" args="(mat Dt)" --> |
| 63 | void </td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87b07867fd4c133aa89a18543f68d9f9">bayes</a> (mat Dt)</td></tr> |
| 64 | |
| 65 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr> |
| 66 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a5b8f6c8a872738cfaa30ab010e8c077"></a><!-- doxytag: member="Kalman::_epdf" ref="a5b8f6c8a872738cfaa30ab010e8c077" args="()" --> |
| 67 | <a class="el" href="classepdf.html">epdf</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#a5b8f6c8a872738cfaa30ab010e8c077">_epdf</a> ()</td></tr> |
| 68 | |
| 69 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Returns a pointer to the <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> representing posterior density on parameters. Use with care! <br></td></tr> |
| 79 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="Kalman::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" --> |
| 80 | double </td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr> |
| 81 | |
| 82 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr> |
| 83 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bf6fb59b30141074f8ee1e2f43d03129"></a><!-- doxytag: member="Kalman::evalll" ref="bf6fb59b30141074f8ee1e2f43d03129" args="" --> |
| 84 | bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#bf6fb59b30141074f8ee1e2f43d03129">evalll</a></td></tr> |
| 85 | |
| 86 | <tr><td class="mdescLeft"> </td><td class="mdescRight">If true, the filter will compute likelihood of the data record and store it in <code>ll</code> . Set to false if you want to save time. <br></td></tr> |
116 | | <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form. <hr>The documentation for this class was generated from the following file:<ul> |
| 136 | <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form. <hr><h2>Member Function Documentation</h2> |
| 137 | <a class="anchor" name="a892eff438aab2dd1a9e2efcb7fb5bdf"></a><!-- doxytag: member="Kalman::bayes" ref="a892eff438aab2dd1a9e2efcb7fb5bdf" args="(const vec &dt)=0" --> |
| 138 | <div class="memitem"> |
| 139 | <div class="memproto"> |
| 140 | <table class="memname"> |
| 141 | <tr> |
| 142 | <td class="memname">virtual void BM::bayes </td> |
| 143 | <td>(</td> |
| 144 | <td class="paramtype">const vec & </td> |
| 145 | <td class="paramname"> <em>dt</em> </td> |
| 146 | <td> ) </td> |
| 147 | <td width="100%"><code> [pure virtual, inherited]</code></td> |
| 148 | </tr> |
| 149 | </table> |
| 150 | </div> |
| 151 | <div class="memdoc"> |
| 152 | |
| 153 | <p> |
| 154 | Incremental Bayes rule. |
| 155 | <p> |
| 156 | <dl compact><dt><b>Parameters:</b></dt><dd> |
| 157 | <table border="0" cellspacing="2" cellpadding="0"> |
| 158 | <tr><td valign="top"></td><td valign="top"><em>dt</em> </td><td>vector of input data </td></tr> |
| 159 | </table> |
| 160 | </dl> |
| 161 | |
| 162 | </div> |
| 163 | </div><p> |
| 164 | <hr>The documentation for this class was generated from the following file:<ul> |