\hypertarget{classeEF}{
\section{eEF Class Reference}
\label{classeEF}\index{eEF@{eEF}}
}
General conjugate exponential family posterior density.  


{\tt \#include $<$libEF.h$>$}

Inheritance diagram for eEF:\nopagebreak
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\includegraphics[width=400pt]{classeEF__inherit__graph}
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Collaboration diagram for eEF:\nopagebreak
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
\hypertarget{classeEF_7e3c63655e8375c76bf1f421245427a7}{
\hyperlink{classeEF_7e3c63655e8375c76bf1f421245427a7}{eEF} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})}
\label{classeEF_7e3c63655e8375c76bf1f421245427a7}

\begin{CompactList}\small\item\em default constructor \item\end{CompactList}\item 
\hypertarget{classeEF_69e5680dac10375d62520d26c672477d}{
virtual double \hyperlink{classeEF_69e5680dac10375d62520d26c672477d}{lognc} () const =0}
\label{classeEF_69e5680dac10375d62520d26c672477d}

\begin{CompactList}\small\item\em logarithm of the normalizing constant, $\mathcal{I}$ \item\end{CompactList}\item 
\hypertarget{classeEF_a89bef8996410609004fa019b5b48964}{
virtual void \hyperlink{classeEF_a89bef8996410609004fa019b5b48964}{dupdate} (mat \&v)}
\label{classeEF_a89bef8996410609004fa019b5b48964}

\begin{CompactList}\small\item\em TODO decide if it is really needed. \item\end{CompactList}\item 
\hypertarget{classeEF_48cdd33d0e20d1a1aa45683c956bc61c}{
virtual double \hyperlink{classeEF_48cdd33d0e20d1a1aa45683c956bc61c}{evalpdflog\_\-nn} (const vec \&val) const }
\label{classeEF_48cdd33d0e20d1a1aa45683c956bc61c}

\begin{CompactList}\small\item\em Evaluate normalized log-probability. \item\end{CompactList}\item 
\hypertarget{classeEF_6466e8d4aa9dd64698ed288cbb1afc03}{
virtual double \hyperlink{classeEF_6466e8d4aa9dd64698ed288cbb1afc03}{evalpdflog} (const vec \&val) const }
\label{classeEF_6466e8d4aa9dd64698ed288cbb1afc03}

\begin{CompactList}\small\item\em Evaluate normalized log-probability. \item\end{CompactList}\item 
\hypertarget{classeEF_c71faf4b2d153efda14bf1f87dca1507}{
virtual vec \hyperlink{classeEF_c71faf4b2d153efda14bf1f87dca1507}{evalpdflog} (const mat \&Val) const }
\label{classeEF_c71faf4b2d153efda14bf1f87dca1507}

\begin{CompactList}\small\item\em Evaluate normalized log-probability for many samples. \item\end{CompactList}\item 
\hypertarget{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5}{
virtual void \hyperlink{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5}{pow} (double p)}
\label{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5}

\begin{CompactList}\small\item\em Power of the density, used e.g. to flatten the density. \item\end{CompactList}\item 
\hypertarget{classepdf_8019654e494bf5e458f6fb947e11b262}{
virtual vec \hyperlink{classepdf_8019654e494bf5e458f6fb947e11b262}{sample} () const =0}
\label{classepdf_8019654e494bf5e458f6fb947e11b262}

\begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classepdf_76608914c3b19e150292d5c56e93e508}{
virtual mat \hyperlink{classepdf_76608914c3b19e150292d5c56e93e508}{sample\_\-m} (int N) const }
\label{classepdf_76608914c3b19e150292d5c56e93e508}

\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{
virtual vec \hyperlink{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{evalpdflog\_\-m} (const mat \&Val) const }
\label{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}

\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
\hypertarget{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{
virtual \hyperlink{classmpdf}{mpdf} $\ast$ \hyperlink{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{condition} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
\label{classepdf_e87dc8260a5c37bc1b03eb66174741a0}

\begin{CompactList}\small\item\em Return conditional density on the given \hyperlink{classRV}{RV}, the remaining rvs will be in conditioning. \item\end{CompactList}\item 
\hypertarget{classepdf_38de9f59b65ee06028554f3f74b66025}{
virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classepdf_38de9f59b65ee06028554f3f74b66025}{marginal} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
\label{classepdf_38de9f59b65ee06028554f3f74b66025}

\begin{CompactList}\small\item\em Return marginal density on the given \hyperlink{classRV}{RV}, the remainig rvs are intergrated out. \item\end{CompactList}\item 
\hypertarget{classepdf_bf0a070a8f3e67a93604ca724638b870}{
virtual vec \hyperlink{classepdf_bf0a070a8f3e67a93604ca724638b870}{mean} () const =0}
\label{classepdf_bf0a070a8f3e67a93604ca724638b870}

\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
\hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{
const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const }
\label{classepdf_ca0d32aabb4cbba347e0c37fe8607562}

\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
\hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{
void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)}
\label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}

\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
\hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{
\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}}
\label{classepdf_74da992e3f5d598da8850b646b79b9d9}

\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
General conjugate exponential family posterior density. 

More?... 

The documentation for this class was generated from the following file:\begin{CompactItemize}
\item 
work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize}
