\hypertarget{classbdm_1_1egamma}{
\section{bdm::egamma Class Reference}
\label{classbdm_1_1egamma}\index{bdm::egamma@{bdm::egamma}}
}
Gamma posterior density.  


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

Inheritance diagram for bdm::egamma:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=65pt]{classbdm_1_1egamma__inherit__graph}
\end{center}
\end{figure}
Collaboration diagram for bdm::egamma:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=77pt]{classbdm_1_1egamma__coll__graph}
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
\hypertarget{classbdm_1_1egamma_4dafabaa0881300b18f791bc614ef487}{
\hyperlink{classbdm_1_1egamma_4dafabaa0881300b18f791bc614ef487}{egamma} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}{rv})}
\label{classbdm_1_1egamma_4dafabaa0881300b18f791bc614ef487}

\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_749f82293ff23a8319c1bf52489d2ed2}{
void \hyperlink{classbdm_1_1egamma_749f82293ff23a8319c1bf52489d2ed2}{set\_\-parameters} (const vec \&a, const vec \&b)}
\label{classbdm_1_1egamma_749f82293ff23a8319c1bf52489d2ed2}

\begin{CompactList}\small\item\em Sets parameters. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_6ed82f0fd05f6002487256d8e75a0bbd}{
vec \hyperlink{classbdm_1_1egamma_6ed82f0fd05f6002487256d8e75a0bbd}{sample} () const }
\label{classbdm_1_1egamma_6ed82f0fd05f6002487256d8e75a0bbd}

\begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_a8e11e5a580ff42a1b205974c60768c6}{
double \hyperlink{classbdm_1_1egamma_a8e11e5a580ff42a1b205974c60768c6}{evallog} (const vec \&val) const }
\label{classbdm_1_1egamma_a8e11e5a580ff42a1b205974c60768c6}

\begin{CompactList}\small\item\em TODO: is it used anywhere? \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_9a66cbd100e8520c769ccb3c451f86f8}{
double \hyperlink{classbdm_1_1egamma_9a66cbd100e8520c769ccb3c451f86f8}{lognc} () const }
\label{classbdm_1_1egamma_9a66cbd100e8520c769ccb3c451f86f8}

\begin{CompactList}\small\item\em logarithm of the normalizing constant, $\mathcal{I}$ \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_498c1fe5e8382ab2f97d629849741855}{
void \hyperlink{classbdm_1_1egamma_498c1fe5e8382ab2f97d629849741855}{\_\-param} (vec $\ast$\&a, vec $\ast$\&b)}
\label{classbdm_1_1egamma_498c1fe5e8382ab2f97d629849741855}

\begin{CompactList}\small\item\em Returns poiter to alpha and beta. Potentially dengerous: use with care! \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_49d256c42cce14c6faa56ec242b57e85}{
vec \hyperlink{classbdm_1_1egamma_49d256c42cce14c6faa56ec242b57e85}{mean} () const }
\label{classbdm_1_1egamma_49d256c42cce14c6faa56ec242b57e85}

\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_36986cc01917cd0796fadc17125bdec1}{
vec \hyperlink{classbdm_1_1egamma_36986cc01917cd0796fadc17125bdec1}{variance} () const }
\label{classbdm_1_1egamma_36986cc01917cd0796fadc17125bdec1}

\begin{CompactList}\small\item\em return expected variance (not covariance!) \item\end{CompactList}\item 
\hypertarget{classbdm_1_1eEF_deef7d6273ba4d5a5cf0bbd91ec7277a}{
virtual void \hyperlink{classbdm_1_1eEF_deef7d6273ba4d5a5cf0bbd91ec7277a}{dupdate} (mat \&v)}
\label{classbdm_1_1eEF_deef7d6273ba4d5a5cf0bbd91ec7277a}

\begin{CompactList}\small\item\em TODO decide if it is really needed. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1eEF_a4135778ecd9ab774762936c82a097c6}{
virtual double \hyperlink{classbdm_1_1eEF_a4135778ecd9ab774762936c82a097c6}{evallog\_\-nn} (const vec \&val) const }
\label{classbdm_1_1eEF_a4135778ecd9ab774762936c82a097c6}

\begin{CompactList}\small\item\em Evaluate normalized log-probability. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1eEF_79a7c8ea8c02e45d410bd1d7ffd72b41}{
virtual vec \hyperlink{classbdm_1_1eEF_79a7c8ea8c02e45d410bd1d7ffd72b41}{evallog} (const mat \&Val) const }
\label{classbdm_1_1eEF_79a7c8ea8c02e45d410bd1d7ffd72b41}

\begin{CompactList}\small\item\em Evaluate normalized log-probability for many samples. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1eEF_cf38af29e8e3d650c640509a52396053}{
virtual void \hyperlink{classbdm_1_1eEF_cf38af29e8e3d650c640509a52396053}{pow} (double p)}
\label{classbdm_1_1eEF_cf38af29e8e3d650c640509a52396053}

\begin{CompactList}\small\item\em Power of the density, used e.g. to flatten the density. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_b4cf45fd83cc7573ede9fe1215256058}{
virtual mat \hyperlink{classbdm_1_1epdf_b4cf45fd83cc7573ede9fe1215256058}{sample\_\-m} (int N) const }
\label{classbdm_1_1epdf_b4cf45fd83cc7573ede9fe1215256058}

\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_34956d4dd3176eeb5937cf48a1546b62}{
virtual vec \hyperlink{classbdm_1_1epdf_34956d4dd3176eeb5937cf48a1546b62}{evallog\_\-m} (const mat \&Val) const }
\label{classbdm_1_1epdf_34956d4dd3176eeb5937cf48a1546b62}

\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_e584eac5579c1b6384947ecf66166c77}{
virtual \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ \hyperlink{classbdm_1_1epdf_e584eac5579c1b6384947ecf66166c77}{condition} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}{rv}) const }
\label{classbdm_1_1epdf_e584eac5579c1b6384947ecf66166c77}

\begin{CompactList}\small\item\em Return conditional density on the given \hyperlink{classbdm_1_1RV}{RV}, the remaining rvs will be in conditioning. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_3fb2ece54f720b62ad325e61214fa0a1}{
virtual \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1epdf_3fb2ece54f720b62ad325e61214fa0a1}{marginal} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}{rv}) const }
\label{classbdm_1_1epdf_3fb2ece54f720b62ad325e61214fa0a1}

\begin{CompactList}\small\item\em Return marginal density on the given \hyperlink{classbdm_1_1RV}{RV}, the remainig rvs are intergrated out. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_a4ab378d5e004c3ff3e2d4e64f7bba21}{
const \hyperlink{classbdm_1_1RV}{RV} \& \hyperlink{classbdm_1_1epdf_a4ab378d5e004c3ff3e2d4e64f7bba21}{\_\-rv} () const }
\label{classbdm_1_1epdf_a4ab378d5e004c3ff3e2d4e64f7bba21}

\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_62e88cbce0ce77a8692f5e15d76e805f}{
void \hyperlink{classbdm_1_1epdf_62e88cbce0ce77a8692f5e15d76e805f}{\_\-renewrv} (const \hyperlink{classbdm_1_1RV}{RV} \&in\_\-rv)}
\label{classbdm_1_1epdf_62e88cbce0ce77a8692f5e15d76e805f}

\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
\hypertarget{classbdm_1_1egamma_0901ec983e66b8337aaa506e13b122fa}{
vec \hyperlink{classbdm_1_1egamma_0901ec983e66b8337aaa506e13b122fa}{alpha}}
\label{classbdm_1_1egamma_0901ec983e66b8337aaa506e13b122fa}

\begin{CompactList}\small\item\em Vector $\alpha$. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1egamma_457bfb1ccb2057df85073e519a15ccc1}{
vec \hyperlink{classbdm_1_1egamma_457bfb1ccb2057df85073e519a15ccc1}{beta}}
\label{classbdm_1_1egamma_457bfb1ccb2057df85073e519a15ccc1}

\begin{CompactList}\small\item\em Vector $\beta$. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}{
\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}{rv}}
\label{classbdm_1_1epdf_62c5b8ff71d9ebe6cd58d3c342eb1dc8}

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


\subsection{Detailed Description}
Gamma posterior density. 

Multivariate Gamma density as product of independent univariate densities. \[ f(x|\alpha,\beta) = \prod f(x_i|\alpha_i,\beta_i) \] 

The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
\hyperlink{libEF_8h}{libEF.h}\item 
libEF.cpp\end{CompactItemize}