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10/15/08 19:11:17 (16 years ago)
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smidl
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Regenerated doc

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  • doc/latex/classmlnorm.tex

    r172 r181  
    2525\begin{CompactItemize} 
    2626\item  
    27 \hypertarget{classmlnorm_f927203b3f31171c5c10ffc7caa797f5}{ 
    28 \hyperlink{classmlnorm_f927203b3f31171c5c10ffc7caa797f5}{mlnorm} (\hyperlink{classRV}{RV} \&\hyperlink{classmpdf_f6687c07ff07d47812dd565368ca59eb}{rv}, \hyperlink{classRV}{RV} \&\hyperlink{classmpdf_acb7dda792b3cd5576f39fa3129abbab}{rvc})} 
    29 \label{classmlnorm_f927203b3f31171c5c10ffc7caa797f5} 
     27\hypertarget{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837}{ 
     28\hyperlink{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837}{mlnorm} (const \hyperlink{classRV}{RV} \&\hyperlink{classmpdf_f6687c07ff07d47812dd565368ca59eb}{rv}, const \hyperlink{classRV}{RV} \&\hyperlink{classmpdf_acb7dda792b3cd5576f39fa3129abbab}{rvc})} 
     29\label{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837} 
    3030 
    3131\begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item  
    32 \hypertarget{classmlnorm_b6749030c5d5abcb3eb6898f74cea3c0}{ 
    33 void \hyperlink{classmlnorm_b6749030c5d5abcb3eb6898f74cea3c0}{set\_\-parameters} (const mat \&A, const sq\_\-T \&R)} 
    34 \label{classmlnorm_b6749030c5d5abcb3eb6898f74cea3c0} 
     32\hypertarget{classmlnorm_f95dfce0b500636a44ecd7e5210de999}{ 
     33void \hyperlink{classmlnorm_f95dfce0b500636a44ecd7e5210de999}{set\_\-parameters} (const mat \&A, const vec \&mu0, const sq\_\-T \&R)} 
     34\label{classmlnorm_f95dfce0b500636a44ecd7e5210de999} 
    3535 
    3636\begin{CompactList}\small\item\em Set {\tt A} and {\tt R}. \item\end{CompactList}\item  
    37 \hypertarget{classmlnorm_decf3e3b5c8e0812e5b4dbe94fa2ae18}{ 
    38 vec \hyperlink{classmlnorm_decf3e3b5c8e0812e5b4dbe94fa2ae18}{samplecond} (vec \&cond, double \&lik)} 
    39 \label{classmlnorm_decf3e3b5c8e0812e5b4dbe94fa2ae18} 
     37\hypertarget{classmlnorm_1bd939dbf8ec7b8066d3f18abba6822b}{ 
     38vec \hyperlink{classmlnorm_1bd939dbf8ec7b8066d3f18abba6822b}{samplecond} (const vec \&cond, double \&lik)} 
     39\label{classmlnorm_1bd939dbf8ec7b8066d3f18abba6822b} 
    4040 
    4141\begin{CompactList}\small\item\em Generate one sample of the posterior. \item\end{CompactList}\item  
    42 \hypertarget{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8}{ 
    43 mat \hyperlink{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8}{samplecond} (vec \&cond, vec \&lik, int n)} 
    44 \label{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8} 
     42\hypertarget{classmlnorm_06a3600a414b4b0f006ce9440f462817}{ 
     43mat \hyperlink{classmlnorm_06a3600a414b4b0f006ce9440f462817}{samplecond} (const vec \&cond, vec \&lik, int n)} 
     44\label{classmlnorm_06a3600a414b4b0f006ce9440f462817} 
    4545 
    4646\begin{CompactList}\small\item\em Generate matrix of samples of the posterior. \item\end{CompactList}\item  
    47 \hypertarget{classmlnorm_5232fc7e305eceab4e2bd6a8daa44195}{ 
    48 void \hyperlink{classmlnorm_5232fc7e305eceab4e2bd6a8daa44195}{condition} (vec \&cond)} 
    49 \label{classmlnorm_5232fc7e305eceab4e2bd6a8daa44195} 
     47\hypertarget{classmlnorm_d41126455ac64b888a38f677886e1b40}{ 
     48void \hyperlink{classmlnorm_d41126455ac64b888a38f677886e1b40}{condition} (const vec \&cond)} 
     49\label{classmlnorm_d41126455ac64b888a38f677886e1b40} 
    5050 
    5151\begin{CompactList}\small\item\em Set value of {\tt rvc} . Result of this operation is stored in {\tt \hyperlink{classepdf}{epdf}} use function {\tt \_\-ep} to access it. \item\end{CompactList}\item  
    52 virtual vec \hyperlink{classmpdf_3f172b79ec4a5ebc87898a5381141f1b}{samplecond} (const vec \&cond, double \&ll) 
    53 \begin{CompactList}\small\item\em Returns the required moment of the \hyperlink{classepdf}{epdf}. \item\end{CompactList}\item  
    54 virtual mat \hyperlink{classmpdf_0e37163660f93df2a4d723cedb1da89c}{samplecond} (const vec \&cond, vec \&ll, int N) 
    55 \begin{CompactList}\small\item\em Returns. \item\end{CompactList}\item  
    56 \hypertarget{classmpdf_0f95a0cc6ab40611f46804682446ed83}{ 
    57 virtual void \hyperlink{classmpdf_0f95a0cc6ab40611f46804682446ed83}{condition} (const vec \&cond)} 
    58 \label{classmpdf_0f95a0cc6ab40611f46804682446ed83} 
    59  
    60 \begin{CompactList}\small\item\em Update {\tt ep} so that it represents this \hyperlink{classmpdf}{mpdf} conditioned on {\tt rvc} = cond. \item\end{CompactList}\item  
    6152\hypertarget{classmpdf_80b738ece5bd4f8c4edaee4b38906f91}{ 
    6253virtual double \hyperlink{classmpdf_80b738ece5bd4f8c4edaee4b38906f91}{evalcond} (const vec \&dt, const vec \&cond)} 
     
    10495Normal distributed linear function with linear function of mean value;.  
    10596 
    106 Mean value $mu=A*rvc$.  
    107  
    108 \subsection{Member Function Documentation} 
    109 \hypertarget{classmpdf_3f172b79ec4a5ebc87898a5381141f1b}{ 
    110 \index{mlnorm@{mlnorm}!samplecond@{samplecond}} 
    111 \index{samplecond@{samplecond}!mlnorm@{mlnorm}} 
    112 \subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (const vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} 
    113 \label{classmpdf_3f172b79ec4a5ebc87898a5381141f1b} 
    114  
    115  
    116 Returns the required moment of the \hyperlink{classepdf}{epdf}.  
    117  
    118 Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \begin{Desc} 
    119 \item[Parameters:] 
    120 \begin{description} 
    121 \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} 
    122 \end{Desc} 
    123  
    124  
    125 Reimplemented in \hyperlink{classmprod_a48887eb8738a9e5550bfc38eb8e9d68}{mprod}. 
    126  
    127 References mpdf::condition(), mpdf::ep, epdf::evalpdflog(), and epdf::sample(). 
    128  
    129 Referenced by MPF$<$ BM\_\-T $>$::bayes(), and PF::bayes().\hypertarget{classmpdf_0e37163660f93df2a4d723cedb1da89c}{ 
    130 \index{mlnorm@{mlnorm}!samplecond@{samplecond}} 
    131 \index{samplecond@{samplecond}!mlnorm@{mlnorm}} 
    132 \subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual mat mpdf::samplecond (const vec \& {\em cond}, \/  vec \& {\em ll}, \/  int {\em N})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} 
    133 \label{classmpdf_0e37163660f93df2a4d723cedb1da89c} 
    134  
    135  
    136 Returns.  
    137  
    138 \begin{Desc} 
    139 \item[Parameters:] 
    140 \begin{description} 
    141 \item[{\em N}]samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} 
    142 \end{Desc} 
    143  
    144  
    145 Reimplemented in \hyperlink{classmprod_e171c40e210539c2af01d6237785620b}{mprod}. 
    146  
    147 References mpdf::condition(), RV::count(), mpdf::ep, epdf::evalpdflog(), mpdf::rv, and epdf::sample(). 
     97Mean value $mu=A*rvc+mu_0$.  
    14898 
    14999The documentation for this class was generated from the following file:\begin{CompactItemize}