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1\section{epdf Class Reference}
2\label{classepdf}\index{epdf@{epdf}}
3Probability density function with numerical statistics, e.g. posterior density. 
4
5
6{\tt \#include $<$libBM.h$>$}
7
8Inheritance diagram for epdf:\nopagebreak
9\begin{figure}[H]
10\begin{center}
11\leavevmode
12\includegraphics[width=400pt]{classepdf__inherit__graph}
13\end{center}
14\end{figure}
15Collaboration diagram for epdf:\nopagebreak
16\begin{figure}[H]
17\begin{center}
18\leavevmode
19\includegraphics[width=41pt]{classepdf__coll__graph}
20\end{center}
21\end{figure}
22\subsection*{Public Member Functions}
23\begin{CompactItemize}
24\item 
25{\bf epdf} ()\label{classepdf_d8eb760037b3bad5a0d64081606697cd}
26
27\begin{CompactList}\small\item\em default constructor \item\end{CompactList}\item 
28{\bf epdf} (const {\bf RV} \&rv0)\label{classepdf_c95b1a27a8dd9507bb9a5a3cb2809c7a}
29
30\begin{CompactList}\small\item\em default constructor \item\end{CompactList}\item 
31virtual vec {\bf sample} () const =0
32\begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 
33virtual double {\bf eval} (const vec \&val) const \label{classepdf_3ea597362e11a0040fe7c990269d072c}
34
35\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 
36virtual double {\bf evalpdflog} (const vec \&val) const =0\label{classepdf_6aef3eca74899692503769c18add1a4c}
37
38\begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 
39virtual vec {\bf mean} () const =0\label{classepdf_bf0a070a8f3e67a93604ca724638b870}
40
41\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
42virtual {\bf $\sim$epdf} ()\label{classepdf_0a322dd106f04c0a2915e3d4f4227396}
43
44\begin{CompactList}\small\item\em Destructor for future use;. \item\end{CompactList}\item 
45{\bf RV} {\bf \_\-rv} () const \label{classepdf_b89143f12c9b49282e30841e4fb5f337}
46
47\begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize}
48\subsection*{Protected Attributes}
49\begin{CompactItemize}
50\item 
51{\bf RV} {\bf rv}\label{classepdf_74da992e3f5d598da8850b646b79b9d9}
52
53\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}
54
55
56\subsection{Detailed Description}
57Probability density function with numerical statistics, e.g. posterior density.
58
59\subsection{Member Function Documentation}
60\index{epdf@{epdf}!sample@{sample}}
61\index{sample@{sample}!epdf@{epdf}}
62\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual vec epdf::sample () const\hspace{0.3cm}{\tt  [pure virtual]}}\label{classepdf_8019654e494bf5e458f6fb947e11b262}
63
64
65Returns the required moment of the \doxyref{epdf}{p.}{classepdf}.
66
67Returns a sample from the density, $x \sim epdf(rv)$ 
68
69Implemented in {\bf enorm$<$ sq\_\-T $>$} \doxyref{}{p.}{classenorm_60b47544f6181ffd4530d3e415ce12c5}, {\bf egamma} \doxyref{}{p.}{classegamma_8e10c0021b5dfdd9cb62c6959b5ef425}, {\bf euni} \doxyref{}{p.}{classeuni_4a0e09392be17beaee120ba98fc038cd}, {\bf eEmp} \doxyref{}{p.}{classeEmp_83f9283f92b805508d896479dc1ccf12}, {\bf enorm$<$ ldmat $>$} \doxyref{}{p.}{classenorm_60b47544f6181ffd4530d3e415ce12c5}, {\bf enorm$<$ chmat $>$} \doxyref{}{p.}{classenorm_60b47544f6181ffd4530d3e415ce12c5}, and {\bf enorm$<$ fsqmat $>$} \doxyref{}{p.}{classenorm_60b47544f6181ffd4530d3e415ce12c5}.
70
71The documentation for this class was generated from the following file:\begin{CompactItemize}
72\item 
73work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}
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