\section{work/git/mixpp/bdm/stat/libEF.h File Reference}
\label{libEF_8h}\index{work/git/mixpp/bdm/stat/libEF.h@{work/git/mixpp/bdm/stat/libEF.h}}
Probability distributions for Exponential Family models. 

{\tt \#include $<$itpp/itbase.h$>$}\par
{\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par
{\tt \#include \char`\"{}libBM.h\char`\"{}}\par
{\tt \#include \char`\"{}../itpp\_\-ext.h\char`\"{}}\par


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\subsection*{Classes}
\begin{CompactItemize}
\item 
class {\bf eEF}
\begin{CompactList}\small\item\em General conjugate exponential family posterior density. \item\end{CompactList}\item 
class {\bf mEF}
\begin{CompactList}\small\item\em Exponential family model. \item\end{CompactList}\item 
class {\bf enorm$<$ sq\_\-T $>$}
\begin{CompactList}\small\item\em Gaussian density with positive definite (decomposed) covariance matrix. \item\end{CompactList}\item 
class {\bf egiw}
\begin{CompactList}\small\item\em Gauss-inverse-Wishart density stored in LD form. \item\end{CompactList}\item 
class {\bf egamma}
\begin{CompactList}\small\item\em Gamma posterior density. \item\end{CompactList}\item 
class {\bf euni}
\begin{CompactList}\small\item\em Uniform distributed density on a rectangular support. \item\end{CompactList}\item 
class {\bf mlnorm$<$ sq\_\-T $>$}
\begin{CompactList}\small\item\em Normal distributed linear function with linear function of mean value;. \item\end{CompactList}\item 
class {\bf mgamma}
\begin{CompactList}\small\item\em Gamma random walk. \item\end{CompactList}\item 
class {\bf mgamma\_\-fix}
\begin{CompactList}\small\item\em Gamma random walk around a fixed point. \item\end{CompactList}\item 
class {\bf eEmp}
\begin{CompactList}\small\item\em Weighted empirical density. \item\end{CompactList}\end{CompactItemize}
\subsection*{Enumerations}
\begin{CompactItemize}
\item 
enum {\bf RESAMPLING\_\-METHOD} \{ \textbf{MULTINOMIAL} =  0, 
\textbf{STRATIFIED} =  1, 
\textbf{SYSTEMATIC} =  3
 \}
\begin{CompactList}\small\item\em Switch between various resampling methods. \item\end{CompactList}\end{CompactItemize}
\subsection*{Variables}
\begin{CompactItemize}
\item 
Uniform\_\-RNG {\bf UniRNG}\label{libEF_8h_2ae7dcdfebede774dd1b1f16cad10dd9}

\begin{CompactList}\small\item\em Global Uniform\_\-RNG. \item\end{CompactList}\item 
Normal\_\-RNG {\bf NorRNG}\label{libEF_8h_395c5925c8792aef3be4c360e91526c0}

\begin{CompactList}\small\item\em Global Normal\_\-RNG. \item\end{CompactList}\item 
{\bf Gamma\_\-RNG} {\bf GamRNG}\label{libEF_8h_884a8348c92a49725b78e2b6ab0bb802}

\begin{CompactList}\small\item\em Global Gamma\_\-RNG. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Probability distributions for Exponential Family models. 

\begin{Desc}
\item[Author:]Vaclav Smidl.\end{Desc}
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations ----------------------------------- 