1 | \hypertarget{classmultiBM}{ |
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2 | \section{multiBM Class Reference} |
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3 | \label{classmultiBM}\index{multiBM@{multiBM}} |
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4 | } |
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5 | Estimator for Multinomial density. |
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6 | |
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7 | |
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8 | {\tt \#include $<$libEF.h$>$} |
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9 | |
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10 | Inheritance diagram for multiBM:\nopagebreak |
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11 | \begin{figure}[H] |
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12 | \begin{center} |
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13 | \leavevmode |
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14 | \includegraphics[width=49pt]{classmultiBM__inherit__graph} |
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15 | \end{center} |
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16 | \end{figure} |
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17 | Collaboration diagram for multiBM:\nopagebreak |
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18 | \begin{figure}[H] |
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19 | \begin{center} |
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20 | \leavevmode |
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21 | \includegraphics[width=69pt]{classmultiBM__coll__graph} |
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22 | \end{center} |
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23 | \end{figure} |
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24 | \subsection*{Public Member Functions} |
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25 | \begin{CompactItemize} |
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26 | \item |
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27 | \hypertarget{classmultiBM_7d7d7e78c129602bcde96078359dc6e5}{ |
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28 | \hyperlink{classmultiBM_7d7d7e78c129602bcde96078359dc6e5}{multiBM} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}, const vec beta0)} |
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29 | \label{classmultiBM_7d7d7e78c129602bcde96078359dc6e5} |
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30 | |
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31 | \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item |
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32 | \hypertarget{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09}{ |
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33 | \hyperlink{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09}{multiBM} (const \hyperlink{classmultiBM}{multiBM} \&B)} |
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34 | \label{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09} |
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35 | |
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36 | \begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item |
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37 | \hypertarget{classmultiBM_42e36804041e551d3ceea6c75abc0562}{ |
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38 | void \hyperlink{classmultiBM_42e36804041e551d3ceea6c75abc0562}{set\_\-statistics} (const \hyperlink{classBM}{BM} $\ast$mB0)} |
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39 | \label{classmultiBM_42e36804041e551d3ceea6c75abc0562} |
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40 | |
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41 | \begin{CompactList}\small\item\em Sets sufficient statistics to match that of givefrom mB0. \item\end{CompactList}\item |
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42 | void \hyperlink{classmultiBM_11eeba7e97954e316e959116f90d80e2}{bayes} (const vec \&dt) |
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43 | \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item |
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44 | double \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{logpred} (const vec \&dt) const |
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45 | \item |
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46 | \hypertarget{classmultiBM_3988322f8f51b153622036f461f62a67}{ |
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47 | void \hyperlink{classmultiBM_3988322f8f51b153622036f461f62a67}{flatten} (const \hyperlink{classBMEF}{BMEF} $\ast$B)} |
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48 | \label{classmultiBM_3988322f8f51b153622036f461f62a67} |
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49 | |
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50 | \begin{CompactList}\small\item\em Flatten the posterior according to the given \hyperlink{classBMEF}{BMEF} (of the same type!). \item\end{CompactList}\item |
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51 | \hypertarget{classmultiBM_66cdfd83a70bc281840ab0646b941684}{ |
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52 | const \hyperlink{classepdf}{epdf} \& \hyperlink{classmultiBM_66cdfd83a70bc281840ab0646b941684}{\_\-epdf} () const } |
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53 | \label{classmultiBM_66cdfd83a70bc281840ab0646b941684} |
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54 | |
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55 | \begin{CompactList}\small\item\em Returns a pointer to the \hyperlink{classepdf}{epdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\item |
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56 | \hypertarget{classmultiBM_164117b1a5eb6f33db9b4b0f4b2d2842}{ |
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57 | void \textbf{set\_\-parameters} (const vec \&beta0)} |
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58 | \label{classmultiBM_164117b1a5eb6f33db9b4b0f4b2d2842} |
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59 | |
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60 | \item |
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61 | \hypertarget{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4}{ |
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62 | virtual void \hyperlink{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4}{set\_\-statistics} (const \hyperlink{classBMEF}{BMEF} $\ast$BM0)} |
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63 | \label{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4} |
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64 | |
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65 | \begin{CompactList}\small\item\em get statistics from another model \item\end{CompactList}\item |
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66 | \hypertarget{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad}{ |
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67 | virtual void \hyperlink{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad}{bayes} (const vec \&data, const double w)} |
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68 | \label{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad} |
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69 | |
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70 | \begin{CompactList}\small\item\em Weighted update of sufficient statistics (Bayes rule). \item\end{CompactList}\item |
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71 | \hypertarget{classBMEF_c285f29db290d05428bf1aa2cd7c35ad}{ |
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72 | virtual void \hyperlink{classBMEF_c285f29db290d05428bf1aa2cd7c35ad}{flatten} (double nu0)} |
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73 | \label{classBMEF_c285f29db290d05428bf1aa2cd7c35ad} |
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74 | |
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75 | \begin{CompactList}\small\item\em Flatten the posterior as if to keep nu0 data. \item\end{CompactList}\item |
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76 | \hypertarget{classBM_0186270f75189677f390fe088a9947e9}{ |
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77 | virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)} |
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78 | \label{classBM_0186270f75189677f390fe088a9947e9} |
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79 | |
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80 | \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item |
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81 | \hypertarget{classBM_cd0660f2a1a344b56ac39802708ff165}{ |
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82 | vec \hyperlink{classBM_cd0660f2a1a344b56ac39802708ff165}{logpred\_\-m} (const mat \&dt) const } |
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83 | \label{classBM_cd0660f2a1a344b56ac39802708ff165} |
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84 | |
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85 | \begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item |
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86 | \hypertarget{classBM_a627c5a79cc6f5221b7e09675525e032}{ |
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87 | virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classBM_a627c5a79cc6f5221b7e09675525e032}{predictor} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv})} |
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88 | \label{classBM_a627c5a79cc6f5221b7e09675525e032} |
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89 | |
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90 | \begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item |
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91 | \hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{ |
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92 | const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const } |
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93 | \label{classBM_126bd2595c48e311fc2a7ab72876092a} |
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94 | |
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95 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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96 | \hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{ |
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97 | double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const } |
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98 | \label{classBM_87f4a547d2c29180be88175e5eab9c88} |
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99 | |
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100 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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101 | \hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{ |
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102 | void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)} |
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103 | \label{classBM_1ffa9f23669aabecc3760c06c6987522} |
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104 | |
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105 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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106 | virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false) |
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107 | \end{CompactItemize} |
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108 | \subsection*{Protected Attributes} |
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109 | \begin{CompactItemize} |
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110 | \item |
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111 | \hypertarget{classmultiBM_eddee08a724170de63f36e40c57b27b5}{ |
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112 | \hyperlink{classeDirich}{eDirich} \hyperlink{classmultiBM_eddee08a724170de63f36e40c57b27b5}{est}} |
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113 | \label{classmultiBM_eddee08a724170de63f36e40c57b27b5} |
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114 | |
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115 | \begin{CompactList}\small\item\em Conjugate prior and posterior. \item\end{CompactList}\item |
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116 | \hypertarget{classmultiBM_7b606116aed7e8834a339cbb0424b1d6}{ |
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117 | vec \& \hyperlink{classmultiBM_7b606116aed7e8834a339cbb0424b1d6}{beta}} |
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118 | \label{classmultiBM_7b606116aed7e8834a339cbb0424b1d6} |
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119 | |
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120 | \begin{CompactList}\small\item\em Pointer inside est to sufficient statistics. \item\end{CompactList}\item |
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121 | \hypertarget{classBMEF_538d632e59f9afa8daa1de74da12ce71}{ |
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122 | double \hyperlink{classBMEF_538d632e59f9afa8daa1de74da12ce71}{frg}} |
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123 | \label{classBMEF_538d632e59f9afa8daa1de74da12ce71} |
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124 | |
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125 | \begin{CompactList}\small\item\em forgetting factor \item\end{CompactList}\item |
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126 | \hypertarget{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02}{ |
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127 | double \hyperlink{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02}{last\_\-lognc}} |
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128 | \label{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02} |
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129 | |
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130 | \begin{CompactList}\small\item\em cached value of lognc() in the previous step (used in evaluation of {\tt ll} ) \item\end{CompactList}\item |
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131 | \hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{ |
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132 | \hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}} |
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133 | \label{classBM_af00f0612fabe66241dd507188cdbf88} |
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134 | |
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135 | \begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item |
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136 | \hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{ |
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137 | double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}} |
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138 | \label{classBM_5623fef6572a08c2b53b8c87b82dc979} |
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139 | |
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140 | \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item |
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141 | \hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{ |
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142 | bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{evalll}} |
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143 | \label{classBM_bf6fb59b30141074f8ee1e2f43d03129} |
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144 | |
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145 | \begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save computational time. \item\end{CompactList}\end{CompactItemize} |
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146 | |
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147 | |
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148 | \subsection{Detailed Description} |
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149 | Estimator for Multinomial density. |
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150 | |
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151 | \subsection{Member Function Documentation} |
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152 | \hypertarget{classmultiBM_11eeba7e97954e316e959116f90d80e2}{ |
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153 | \index{multiBM@{multiBM}!bayes@{bayes}} |
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154 | \index{bayes@{bayes}!multiBM@{multiBM}} |
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155 | \subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}void multiBM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt \mbox{[}inline, virtual\mbox{]}}}} |
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156 | \label{classmultiBM_11eeba7e97954e316e959116f90d80e2} |
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157 | |
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158 | |
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159 | Incremental Bayes rule. |
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160 | |
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161 | \begin{Desc} |
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162 | \item[Parameters:] |
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163 | \begin{description} |
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164 | \item[{\em dt}]vector of input data \end{description} |
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165 | \end{Desc} |
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166 | |
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167 | |
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168 | Reimplemented from \hyperlink{classBMEF_52b7719312d545215cca1ff87722a35a}{BMEF}. |
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169 | |
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170 | References beta, est, BM::evalll, BMEF::frg, BMEF::last\_\-lognc, BM::ll, and eDirich::lognc(). |
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171 | |
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172 | Referenced by MixEF::bayes().\hypertarget{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{ |
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173 | \index{multiBM@{multiBM}!logpred@{logpred}} |
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174 | \index{logpred@{logpred}!multiBM@{multiBM}} |
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175 | \subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}double multiBM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt \mbox{[}inline, virtual\mbox{]}}}} |
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176 | \label{classmultiBM_13e26a61757278981fd8cac9a7ef91eb} |
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177 | |
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178 | |
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179 | Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. |
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180 | |
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181 | Reimplemented from \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{BM}. |
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182 | |
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183 | References eDirich::\_\-beta(), beta, est, BM::evalll, BMEF::frg, BMEF::last\_\-lognc, and eDirich::lognc(). |
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184 | |
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185 | Referenced by MixEF::bayes().\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ |
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186 | \index{multiBM@{multiBM}!\_\-copy\_\-@{\_\-copy\_\-}} |
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187 | \index{\_\-copy\_\-@{\_\-copy\_\-}!multiBM@{multiBM}} |
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188 | \subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ BM::\_\-copy\_\- (bool {\em changerv} = {\tt false})\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} |
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189 | \label{classBM_eb58c81d6a7b75b05fc6f276eed78887} |
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190 | |
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191 | |
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192 | Copy function required in vectors, Arrays of \hyperlink{classBM}{BM} etc. Have to be DELETED manually! Prototype: BM$\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-()}\{\hyperlink{classBM}{BM} Tmp$\ast$=new Tmp(this$\ast$); return Tmp; \} |
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193 | |
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194 | Reimplemented in \hyperlink{classARX_5de61fbd4f97fa3216760b1f733f5af0}{ARX}. |
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195 | |
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196 | Referenced by MixEF::init(). |
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197 | |
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198 | The documentation for this class was generated from the following file:\begin{CompactItemize} |
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199 | \item |
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200 | work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize} |
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