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} |
42 | | \hypertarget{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8}{ |
43 | | mat \hyperlink{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8}{samplecond} (vec \&cond, vec \&lik, int n)} |
44 | | \label{classmlnorm_215fb88cc8b95d64cdefd6849abdd1e8} |
| 42 | \hypertarget{classmlnorm_06a3600a414b4b0f006ce9440f462817}{ |
| 43 | mat \hyperlink{classmlnorm_06a3600a414b4b0f006ce9440f462817}{samplecond} (const vec \&cond, vec \&lik, int n)} |
| 44 | \label{classmlnorm_06a3600a414b4b0f006ce9440f462817} |
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 |
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(). |
| 97 | Mean value $mu=A*rvc+mu_0$. |