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15 | <h1>work/mixpp/libEF.h</h1><a href="libEF_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 |
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16 | <a name="l00013"></a>00013 <span class="preprocessor">#ifndef EF_H</span> |
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17 | <a name="l00014"></a>00014 <span class="preprocessor"></span><span class="preprocessor">#define EF_H</span> |
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18 | <a name="l00015"></a>00015 <span class="preprocessor"></span> |
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19 | <a name="l00016"></a>00016 <span class="preprocessor">#include <itpp/itbase.h></span> |
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20 | <a name="l00017"></a>00017 <span class="comment">//#include <std></span> |
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21 | <a name="l00018"></a>00018 |
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22 | <a name="l00019"></a>00019 <span class="keyword">using namespace </span>itpp; |
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23 | <a name="l00020"></a>00020 |
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24 | <a name="l00026"></a><a class="code" href="classeEF.html">00026</a> <span class="keyword">class </span><a class="code" href="classeEF.html" title="General conjugate exponential family posterior density.">eEF</a> :<span class="keyword">public</span> <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> { |
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25 | <a name="l00027"></a>00027 |
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26 | <a name="l00028"></a>00028 <span class="keyword">public</span>: |
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27 | <a name="l00029"></a>00029 <span class="keyword">virtual</span> <span class="keywordtype">void</span> tupdate( <span class="keywordtype">double</span> phi, mat &vbar, <span class="keywordtype">double</span> nubar ){}; |
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28 | <a name="l00030"></a>00030 <span class="keyword">virtual</span> <span class="keywordtype">void</span> dupdate( mat &v,<span class="keywordtype">double</span> nu=1.0 ){}; |
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29 | <a name="l00031"></a>00031 }; |
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30 | <a name="l00032"></a>00032 |
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31 | <a name="l00033"></a>00033 <span class="keyword">class </span>mEF :<span class="keyword">public</span> <a class="code" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> { |
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32 | <a name="l00034"></a>00034 |
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33 | <a name="l00035"></a>00035 <span class="keyword">public</span>: |
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34 | <a name="l00036"></a>00036 |
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35 | <a name="l00037"></a>00037 }; |
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36 | <a name="l00038"></a>00038 |
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37 | <a name="l00044"></a>00044 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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38 | <a name="l00045"></a><a class="code" href="classenorm.html">00045</a> <span class="keyword">class </span><a class="code" href="classenorm.html" title="General exponential family density.">enorm</a> : <span class="keyword">public</span> <a class="code" href="classeEF.html" title="General conjugate exponential family posterior density.">eEF</a> { |
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39 | <a name="l00046"></a>00046 vec mu; |
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40 | <a name="l00047"></a>00047 sq_T R; |
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41 | <a name="l00048"></a>00048 <span class="keyword">public</span>: |
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42 | <a name="l00049"></a>00049 <a class="code" href="classenorm.html" title="General exponential family density.">enorm</a>( <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rv, vec &mu, sq_T &R ); |
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43 | <a name="l00050"></a>00050 <a class="code" href="classenorm.html" title="General exponential family density.">enorm</a>(); |
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44 | <a name="l00051"></a>00051 <span class="keywordtype">void</span> tupdate( <span class="keywordtype">double</span> phi, mat &vbar, <span class="keywordtype">double</span> nubar ); |
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45 | <a name="l00052"></a>00052 <span class="keywordtype">void</span> dupdate( mat &v,<span class="keywordtype">double</span> nu=1.0 ); |
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46 | <a name="l00053"></a>00053 vec <a class="code" href="classenorm.html#6020bcd89db2c9584bd8871001bd2023" title="Returns the required moment of the epdf.">sample</a>(); |
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47 | <a name="l00054"></a>00054 <span class="keywordtype">double</span> eval( <span class="keyword">const</span> vec &val ); |
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48 | <a name="l00055"></a>00055 |
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49 | <a name="l00056"></a>00056 }; |
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50 | <a name="l00057"></a>00057 |
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51 | <a name="l00061"></a>00061 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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52 | <a name="l00062"></a>00062 <span class="keyword">class </span>mlnorm : <span class="keyword">public</span> mEF { |
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53 | <a name="l00063"></a>00063 <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T></a> <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>; |
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54 | <a name="l00064"></a>00064 mat A; |
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55 | <a name="l00065"></a>00065 <span class="keyword">public</span>: |
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56 | <a name="l00067"></a>00067 mlnorm( <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rv,<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rvc, mat &A, sq_T &R ); |
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57 | <a name="l00069"></a>00069 vec samplecond( vec &cond, <span class="keywordtype">double</span> &lik ); |
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58 | <a name="l00070"></a>00070 mat samplecond( vec &cond, vec &lik, <span class="keywordtype">int</span> n ); |
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59 | <a name="l00071"></a>00071 <span class="keywordtype">void</span> condition( vec &cond ); |
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60 | <a name="l00072"></a>00072 }; |
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61 | <a name="l00073"></a>00073 |
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62 | <a name="l00075"></a>00075 |
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63 | <a name="l00076"></a>00076 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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64 | <a name="l00077"></a>00077 <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T>::enorm</a>( <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rv, vec &mu0, sq_T &R0 ) { |
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65 | <a name="l00078"></a>00078 mu = mu0; |
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66 | <a name="l00079"></a>00079 R = R0; |
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67 | <a name="l00080"></a>00080 }; |
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68 | <a name="l00081"></a>00081 |
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69 | <a name="l00082"></a>00082 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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70 | <a name="l00083"></a>00083 <span class="keywordtype">void</span> <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T>::dupdate</a>( mat &v, <span class="keywordtype">double</span> nu ) { |
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71 | <a name="l00084"></a>00084 <span class="comment">//</span> |
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72 | <a name="l00085"></a>00085 }; |
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73 | <a name="l00086"></a>00086 |
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74 | <a name="l00087"></a>00087 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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75 | <a name="l00088"></a>00088 <span class="keywordtype">void</span> <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T>::tupdate</a>( <span class="keywordtype">double</span> phi, mat &vbar, <span class="keywordtype">double</span> nubar ) { |
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76 | <a name="l00089"></a>00089 <span class="comment">//</span> |
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77 | <a name="l00090"></a>00090 }; |
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78 | <a name="l00091"></a>00091 |
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79 | <a name="l00092"></a>00092 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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80 | <a name="l00093"></a><a class="code" href="classenorm.html#6020bcd89db2c9584bd8871001bd2023">00093</a> vec <a class="code" href="classenorm.html#6020bcd89db2c9584bd8871001bd2023" title="Returns the required moment of the epdf.">enorm<sq_T>::sample</a>() { |
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81 | <a name="l00094"></a>00094 <span class="comment">//</span> |
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82 | <a name="l00095"></a>00095 }; |
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83 | <a name="l00096"></a>00096 |
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84 | <a name="l00097"></a>00097 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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85 | <a name="l00098"></a>00098 <span class="keywordtype">double</span> <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T>::eval</a>( <span class="keyword">const</span> vec &val ) { |
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86 | <a name="l00099"></a>00099 <span class="comment">//</span> |
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87 | <a name="l00100"></a>00100 }; |
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88 | <a name="l00101"></a>00101 |
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89 | <a name="l00102"></a>00102 |
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90 | <a name="l00103"></a>00103 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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91 | <a name="l00104"></a>00104 <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T>::enorm</a>() {}; |
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92 | <a name="l00105"></a>00105 |
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93 | <a name="l00106"></a>00106 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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94 | <a name="l00107"></a>00107 mlnorm<sq_T>::mlnorm( <a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rv,<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &rvc, mat &A, sq_T &R ) { |
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95 | <a name="l00108"></a>00108 <span class="keywordtype">int</span> dim = rv.<a class="code" href="classRV.html#a764092415291a0e6452a3711749d18e" title="Return length (number of scalars) of the RV.">length</a>(); |
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96 | <a name="l00109"></a>00109 vec mu( dim ); |
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97 | <a name="l00110"></a>00110 |
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98 | <a name="l00111"></a>00111 <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> = <a class="code" href="classenorm.html" title="General exponential family density.">enorm<sq_T></a>( rv,mu,R ); |
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99 | <a name="l00112"></a>00112 } |
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100 | <a name="l00113"></a>00113 |
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101 | <a name="l00114"></a>00114 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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102 | <a name="l00115"></a>00115 vec mlnorm<sq_T>::samplecond( vec &cond, <span class="keywordtype">double</span> &lik ) { |
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103 | <a name="l00116"></a>00116 this->condition( cond ); |
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104 | <a name="l00117"></a>00117 vec smp = <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>.sample(); |
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105 | <a name="l00118"></a>00118 lik = <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>.eval(smp); |
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106 | <a name="l00119"></a>00119 <span class="keywordflow">return</span> smp; |
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107 | <a name="l00120"></a>00120 } |
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108 | <a name="l00121"></a>00121 |
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109 | <a name="l00122"></a>00122 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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110 | <a name="l00123"></a>00123 mat mlnorm<sq_T>::samplecond( vec &cond, vec &lik, <span class="keywordtype">int</span> n ) { |
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111 | <a name="l00124"></a>00124 <span class="keywordtype">int</span> i; |
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112 | <a name="l00125"></a>00125 <span class="keywordtype">int</span> dim = rv.<a class="code" href="classRV.html#a764092415291a0e6452a3711749d18e" title="Return length (number of scalars) of the RV.">length</a>(); |
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113 | <a name="l00126"></a>00126 mat Smp( dim,n ); |
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114 | <a name="l00127"></a>00127 vec smp( dim); |
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115 | <a name="l00128"></a>00128 this->condition( cond ); |
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116 | <a name="l00129"></a>00129 <span class="keywordflow">for</span> ( i=0; i<dim; i++ ) { |
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117 | <a name="l00130"></a>00130 smp = <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>.sample(); |
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118 | <a name="l00131"></a>00131 lik(i) = <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>.eval(smp); |
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119 | <a name="l00132"></a>00132 Smp.set_col( i ,smp); |
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120 | <a name="l00133"></a>00133 } |
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121 | <a name="l00134"></a>00134 <span class="keywordflow">return</span> Smp; |
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122 | <a name="l00135"></a>00135 } |
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123 | <a name="l00136"></a>00136 |
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124 | <a name="l00137"></a>00137 <span class="keyword">template</span><<span class="keyword">class</span> sq_T> |
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125 | <a name="l00138"></a>00138 <span class="keywordtype">void</span> mlnorm<sq_T>::condition( vec &cond) { |
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126 | <a name="l00139"></a>00139 } |
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127 | <a name="l00140"></a>00140 |
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128 | <a name="l00141"></a>00141 <span class="preprocessor">#endif //EF_H</span> |
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129 | </pre></div><hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by |
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131 | <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> |
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