root/doc/html/classbdm_1_1eigamma.html @ 296

Revision 296, 19.8 kB (checked in by smidl, 17 years ago)

doc

RevLine 
[259]1<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
2<html><head><meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
3<title>mixpp: bdm::eigamma Class Reference</title>
4<link href="tabs.css" rel="stylesheet" type="text/css">
[290]5<link href="doxygen.css" rel="stylesheet" type="text/css">
[259]6</head><body>
[290]7<!-- Generated by Doxygen 1.5.8 -->
[271]8<script type="text/javascript">
9<!--
10function changeDisplayState (e){
11  var num=this.id.replace(/[^[0-9]/g,'');
12  var button=this.firstChild;
13  var sectionDiv=document.getElementById('dynsection'+num);
14  if (sectionDiv.style.display=='none'||sectionDiv.style.display==''){
15    sectionDiv.style.display='block';
16    button.src='open.gif';
17  }else{
18    sectionDiv.style.display='none';
19    button.src='closed.gif';
20  }
21}
22function initDynSections(){
23  var divs=document.getElementsByTagName('div');
24  var sectionCounter=1;
25  for(var i=0;i<divs.length-1;i++){
26    if(divs[i].className=='dynheader'&&divs[i+1].className=='dynsection'){
27      var header=divs[i];
28      var section=divs[i+1];
29      var button=header.firstChild;
30      if (button!='IMG'){
31        divs[i].insertBefore(document.createTextNode(' '),divs[i].firstChild);
32        button=document.createElement('img');
33        divs[i].insertBefore(button,divs[i].firstChild);
34      }
35      header.style.cursor='pointer';
36      header.onclick=changeDisplayState;
37      header.id='dynheader'+sectionCounter;
38      button.src='closed.gif';
39      section.id='dynsection'+sectionCounter;
40      section.style.display='none';
41      section.style.marginLeft='14px';
42      sectionCounter++;
43    }
44  }
45}
46window.onload = initDynSections;
47-->
48</script>
[259]49<div class="navigation" id="top">
50  <div class="tabs">
51    <ul>
[271]52      <li><a href="main.html"><span>Main&nbsp;Page</span></a></li>
[259]53      <li><a href="pages.html"><span>Related&nbsp;Pages</span></a></li>
54      <li><a href="modules.html"><span>Modules</span></a></li>
[290]55      <li class="current"><a href="annotated.html"><span>Classes</span></a></li>
[259]56      <li><a href="files.html"><span>Files</span></a></li>
57    </ul>
58  </div>
59  <div class="tabs">
60    <ul>
61      <li><a href="annotated.html"><span>Class&nbsp;List</span></a></li>
[290]62      <li><a href="classes.html"><span>Class&nbsp;Index</span></a></li>
[259]63      <li><a href="hierarchy.html"><span>Class&nbsp;Hierarchy</span></a></li>
64      <li><a href="functions.html"><span>Class&nbsp;Members</span></a></li>
65    </ul>
66  </div>
[271]67  <div class="navpath"><b>bdm</b>::<a class="el" href="classbdm_1_1eigamma.html">eigamma</a>
[259]68  </div>
69</div>
70<div class="contents">
[290]71<h1>bdm::eigamma Class Reference</h1><!-- doxytag: class="bdm::eigamma" --><!-- doxytag: inherits="bdm::egamma" -->Inverse-Gamma posterior density. 
72<a href="#_details">More...</a>
[259]73<p>
[290]74<code>#include &lt;<a class="el" href="libEF_8h-source.html">libEF.h</a>&gt;</code>
75<p>
[259]76
77<p>
[290]78<a href="classbdm_1_1eigamma-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
[259]79<tr><td></td></tr>
80<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
[287]81<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a8e11e5a580ff42a1b205974c60768c6"></a><!-- doxytag: member="bdm::eigamma::evallog" ref="a8e11e5a580ff42a1b205974c60768c6" args="(const vec &amp;val) const " -->
82double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egamma.html#a8e11e5a580ff42a1b205974c60768c6">evallog</a> (const vec &amp;val) const </td></tr>
[259]83
84<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">TODO: is it used anywhere? <br></td></tr>
[287]85<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="79a7c8ea8c02e45d410bd1d7ffd72b41"></a><!-- doxytag: member="bdm::eigamma::evallog" ref="79a7c8ea8c02e45d410bd1d7ffd72b41" args="(const mat &amp;Val) const " -->
86virtual vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eEF.html#79a7c8ea8c02e45d410bd1d7ffd72b41">evallog</a> (const mat &amp;Val) const </td></tr>
[259]87
[287]88<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Evaluate normalized log-probability for many samples. <br></td></tr>
89<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9a66cbd100e8520c769ccb3c451f86f8"></a><!-- doxytag: member="bdm::eigamma::lognc" ref="9a66cbd100e8520c769ccb3c451f86f8" args="() const " -->
90double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egamma.html#9a66cbd100e8520c769ccb3c451f86f8">lognc</a> () const </td></tr>
91
[275]92<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">logarithm of the normalizing constant, <img class="formulaInl" alt="$\mathcal{I}$" src="form_74.png"> <br></td></tr>
[287]93<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0865cb3d6339fdc7410806cf70a329ed"></a><!-- doxytag: member="bdm::eigamma::_alpha" ref="0865cb3d6339fdc7410806cf70a329ed" args="()" -->
94vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egamma.html#0865cb3d6339fdc7410806cf70a329ed">_alpha</a> ()</td></tr>
[259]95
[287]96<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns poiter to alpha and beta. Potentially dengerous: use with care! <br></td></tr>
97<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c42cadd9cbd344caaa69b0b433cd16ca"></a><!-- doxytag: member="bdm::eigamma::_beta" ref="c42cadd9cbd344caaa69b0b433cd16ca" args="()" -->
[270]98vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><b>_beta</b> ()</td></tr>
99
[259]100<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="deef7d6273ba4d5a5cf0bbd91ec7277a"></a><!-- doxytag: member="bdm::eigamma::dupdate" ref="deef7d6273ba4d5a5cf0bbd91ec7277a" args="(mat &amp;v)" -->
101virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eEF.html#deef7d6273ba4d5a5cf0bbd91ec7277a">dupdate</a> (mat &amp;v)</td></tr>
102
103<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">TODO decide if it is really needed. <br></td></tr>
104<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a4135778ecd9ab774762936c82a097c6"></a><!-- doxytag: member="bdm::eigamma::evallog_nn" ref="a4135778ecd9ab774762936c82a097c6" args="(const vec &amp;val) const " -->
105virtual double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eEF.html#a4135778ecd9ab774762936c82a097c6">evallog_nn</a> (const vec &amp;val) const </td></tr>
106
107<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Evaluate normalized log-probability. <br></td></tr>
108<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="cf38af29e8e3d650c640509a52396053"></a><!-- doxytag: member="bdm::eigamma::pow" ref="cf38af29e8e3d650c640509a52396053" args="(double p)" -->
109virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eEF.html#cf38af29e8e3d650c640509a52396053">pow</a> (double p)</td></tr>
110
111<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Power of the density, used e.g. to flatten the density. <br></td></tr>
[287]112<tr><td colspan="2"><div class="groupHeader"></div></td></tr>
113<tr><td colspan="2"><div class="groupText">All constructors are inherited <br><br></div></td></tr>
114<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="3aff7bf25ddac27731c60826fcfd878f"></a><!-- doxytag: member="bdm::eigamma::sample" ref="3aff7bf25ddac27731c60826fcfd878f" args="() const " -->
115vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eigamma.html#3aff7bf25ddac27731c60826fcfd878f">sample</a> () const </td></tr>
[271]116
[287]117<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns a sample, <img class="formulaInl" alt="$ x $" src="form_42.png"> from density <img class="formulaInl" alt="$ f_x()$" src="form_43.png">. <br></td></tr>
118<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="46cecb295edbabd28120cb0f6f572bcb"></a><!-- doxytag: member="bdm::eigamma::mean" ref="46cecb295edbabd28120cb0f6f572bcb" args="() const " -->
119vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eigamma.html#46cecb295edbabd28120cb0f6f572bcb">mean</a> () const </td></tr>
[271]120
[287]121<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns poiter to alpha and beta. Potentially dangerous: use with care! <br></td></tr>
122<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c2c696f8c668e9f65392c9449f6a5133"></a><!-- doxytag: member="bdm::eigamma::variance" ref="c2c696f8c668e9f65392c9449f6a5133" args="() const " -->
123vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1eigamma.html#c2c696f8c668e9f65392c9449f6a5133">variance</a> () const </td></tr>
124
125<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">return expected variance (not covariance!) <br></td></tr>
126<tr><td colspan="2"><div class="groupHeader">Constructors</div></td></tr>
127<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="749f82293ff23a8319c1bf52489d2ed2"></a><!-- doxytag: member="bdm::eigamma::set_parameters" ref="749f82293ff23a8319c1bf52489d2ed2" args="(const vec &amp;a, const vec &amp;b)" -->
[271]128void&nbsp;</td><td class="memItemRight" valign="bottom"><b>set_parameters</b> (const vec &amp;a, const vec &amp;b)</td></tr>
129
130<tr><td colspan="2"><div class="groupHeader">Constructors</div></td></tr>
131<tr><td colspan="2"><div class="groupText">Construction of each <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> should support two types of constructors: <ul>
132<li>empty constructor, </li>
133<li>copy constructor,</li>
134</ul>
135The following constructors should be supported for convenience: <ul>
136<li>constructor followed by calling <code>set_parameters()</code> </li>
137<li>constructor accepting random variables calling <code><a class="el" href="classbdm_1_1epdf.html#f423e28448dbb69ef4905295ec8de8ff" title="Name its rv.">set_rv()</a></code> </li>
138</ul>
139All internal data structures are constructed as empty. Their values (including sizes) will be set by method <code>set_parameters()</code>. This way references can be initialized in constructors. <br><br></div></td></tr>
140<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="840de94aa33cf4f2ebd2427f45a165d8"></a><!-- doxytag: member="bdm::eigamma::set_parameters" ref="840de94aa33cf4f2ebd2427f45a165d8" args="(int dim0)" -->
141void&nbsp;</td><td class="memItemRight" valign="bottom"><b>set_parameters</b> (int dim0)</td></tr>
142
[270]143<tr><td colspan="2"><div class="groupHeader">Matematical Operations</div></td></tr>
[259]144<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b4cf45fd83cc7573ede9fe1215256058"></a><!-- doxytag: member="bdm::eigamma::sample_m" ref="b4cf45fd83cc7573ede9fe1215256058" args="(int N) const " -->
145virtual mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#b4cf45fd83cc7573ede9fe1215256058">sample_m</a> (int N) const </td></tr>
146
[275]147<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns N samples, <img class="formulaInl" alt="$ [x_1 , x_2 , \ldots \ $" src="form_44.png"> from density <img class="formulaInl" alt="$ f_x(rv)$" src="form_45.png">. <br></td></tr>
[259]148<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="34956d4dd3176eeb5937cf48a1546b62"></a><!-- doxytag: member="bdm::eigamma::evallog_m" ref="34956d4dd3176eeb5937cf48a1546b62" args="(const mat &amp;Val) const " -->
149virtual vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#34956d4dd3176eeb5937cf48a1546b62">evallog_m</a> (const mat &amp;Val) const </td></tr>
150
151<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Compute log-probability of multiple values argument <code>val</code>. <br></td></tr>
152<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e584eac5579c1b6384947ecf66166c77"></a><!-- doxytag: member="bdm::eigamma::condition" ref="e584eac5579c1b6384947ecf66166c77" args="(const RV &amp;rv) const " -->
153virtual <a class="el" href="classbdm_1_1mpdf.html">mpdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#e584eac5579c1b6384947ecf66166c77">condition</a> (const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;<a class="el" href="classbdm_1_1epdf.html#62c5b8ff71d9ebe6cd58d3c342eb1dc8">rv</a>) const </td></tr>
154
155<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Return conditional density on the given <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a>, the remaining rvs will be in conditioning. <br></td></tr>
156<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="3fb2ece54f720b62ad325e61214fa0a1"></a><!-- doxytag: member="bdm::eigamma::marginal" ref="3fb2ece54f720b62ad325e61214fa0a1" args="(const RV &amp;rv) const " -->
157virtual <a class="el" href="classbdm_1_1epdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#3fb2ece54f720b62ad325e61214fa0a1">marginal</a> (const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;<a class="el" href="classbdm_1_1epdf.html#62c5b8ff71d9ebe6cd58d3c342eb1dc8">rv</a>) const </td></tr>
158
159<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Return marginal density on the given <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a>, the remainig rvs are intergrated out. <br></td></tr>
[287]160<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0a7705e80601957f7226d333a0a6d539"></a><!-- doxytag: member="bdm::eigamma::qbounds" ref="0a7705e80601957f7226d333a0a6d539" args="(vec &amp;lb, vec &amp;ub, double percentage=0.95) const " -->
161virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#0a7705e80601957f7226d333a0a6d539">qbounds</a> (vec &amp;lb, vec &amp;ub, double percentage=0.95) const </td></tr>
162
163<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Lower and upper bounds of <code>percentage</code> % quantile, returns mean-2*sigma as default. <br></td></tr>
[270]164<tr><td colspan="2"><div class="groupHeader">Connection to other classes</div></td></tr>
165<tr><td colspan="2"><div class="groupText">Description of the random quantity via attribute <code>rv</code> is optional. For operations such as sampling <code>rv</code> does not need to be set. However, for <code>marginalization</code> and <code>conditioning</code> <code>rv</code> has to be set. NB: <br><br></div></td></tr>
166<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f423e28448dbb69ef4905295ec8de8ff"></a><!-- doxytag: member="bdm::eigamma::set_rv" ref="f423e28448dbb69ef4905295ec8de8ff" args="(const RV &amp;rv0)" -->
167void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#f423e28448dbb69ef4905295ec8de8ff">set_rv</a> (const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;rv0)</td></tr>
168
169<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Name its rv. <br></td></tr>
170<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c4b863ff84c7a4882fb3ad18556027f9"></a><!-- doxytag: member="bdm::eigamma::isnamed" ref="c4b863ff84c7a4882fb3ad18556027f9" args="() const " -->
171bool&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#c4b863ff84c7a4882fb3ad18556027f9">isnamed</a> () const </td></tr>
172
173<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">True if rv is assigned. <br></td></tr>
[259]174<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a4ab378d5e004c3ff3e2d4e64f7bba21"></a><!-- doxytag: member="bdm::eigamma::_rv" ref="a4ab378d5e004c3ff3e2d4e64f7bba21" args="() const " -->
175const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#a4ab378d5e004c3ff3e2d4e64f7bba21">_rv</a> () const </td></tr>
176
[270]177<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Return name (fails when isnamed is false). <br></td></tr>
178<tr><td colspan="2"><div class="groupHeader">Access to attributes</div></td></tr>
[271]179<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7083a65f7b7a0d0d13b2c516bd2ec29c"></a><!-- doxytag: member="bdm::eigamma::dimension" ref="7083a65f7b7a0d0d13b2c516bd2ec29c" args="() const " -->
180int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#7083a65f7b7a0d0d13b2c516bd2ec29c">dimension</a> () const </td></tr>
[259]181
[270]182<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Size of the random variable. <br></td></tr>
[259]183<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
[287]184<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0901ec983e66b8337aaa506e13b122fa"></a><!-- doxytag: member="bdm::eigamma::alpha" ref="0901ec983e66b8337aaa506e13b122fa" args="" -->
185vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egamma.html#0901ec983e66b8337aaa506e13b122fa">alpha</a></td></tr>
[259]186
[275]187<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Vector <img class="formulaInl" alt="$\alpha$" src="form_75.png">. <br></td></tr>
[287]188<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="457bfb1ccb2057df85073e519a15ccc1"></a><!-- doxytag: member="bdm::eigamma::beta" ref="457bfb1ccb2057df85073e519a15ccc1" args="" -->
189vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1egamma.html#457bfb1ccb2057df85073e519a15ccc1">beta</a></td></tr>
[259]190
[287]191<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Vector <img class="formulaInl" alt="$\beta$" src="form_76.png">. <br></td></tr>
[270]192<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="16adac20ec7fe07e1ea0b27d917788ce"></a><!-- doxytag: member="bdm::eigamma::dim" ref="16adac20ec7fe07e1ea0b27d917788ce" args="" -->
193int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#16adac20ec7fe07e1ea0b27d917788ce">dim</a></td></tr>
[259]194
[270]195<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">dimension of the random variable <br></td></tr>
[259]196<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="62c5b8ff71d9ebe6cd58d3c342eb1dc8"></a><!-- doxytag: member="bdm::eigamma::rv" ref="62c5b8ff71d9ebe6cd58d3c342eb1dc8" args="" -->
197<a class="el" href="classbdm_1_1RV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html#62c5b8ff71d9ebe6cd58d3c342eb1dc8">rv</a></td></tr>
198
[270]199<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Description of the random variable. <br></td></tr>
[259]200</table>
[290]201<hr><a name="_details"></a><h2>Detailed Description</h2>
202Inverse-Gamma posterior density.
203<p>
204Multivariate inverse-Gamma density as product of independent univariate densities. <p class="formulaDsp">
205<img class="formulaDsp" alt="\[ f(x|\alpha,\beta) = \prod f(x_i|\alpha_i,\beta_i) \]" src="form_59.png">
206<p>
207<p>
208Vector <img class="formulaInl" alt="$\beta$" src="form_76.png"> has different meaning (in fact it is 1/beta as used in definition of iG)<p>
209Inverse Gamma can be converted to Gamma using <p class="formulaDsp">
210<img class="formulaDsp" alt="\[ x\sim iG(a,b) => 1/x\sim G(a,1/b) \]" src="form_60.png">
211<p>
212 This relation is used in sampling. <hr>The documentation for this class was generated from the following file:<ul>
[261]213<li><a class="el" href="libEF_8h-source.html">libEF.h</a></ul>
[259]214</div>
[296]215<hr size="1"><address style="text-align: right;"><small>Generated on Tue Mar 17 13:52:06 2009 for mixpp by&nbsp;
[259]216<a href="http://www.doxygen.org/index.html">
[290]217<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address>
[259]218</body>
219</html>
Note: See TracBrowser for help on using the browser.