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[172]1\hypertarget{classepdf}{
[8]2\section{epdf Class Reference}
3\label{classepdf}\index{epdf@{epdf}}
[172]4}
[8]5Probability density function with numerical statistics, e.g. posterior density. 
6
7
8{\tt \#include $<$libBM.h$>$}
9
[19]10Inheritance diagram for epdf:\nopagebreak
11\begin{figure}[H]
[8]12\begin{center}
13\leavevmode
[33]14\includegraphics[width=400pt]{classepdf__inherit__graph}
[8]15\end{center}
16\end{figure}
[19]17Collaboration diagram for epdf:\nopagebreak
18\begin{figure}[H]
19\begin{center}
20\leavevmode
[91]21\includegraphics[width=39pt]{classepdf__coll__graph}
[19]22\end{center}
23\end{figure}
[8]24\subsection*{Public Member Functions}
25\begin{CompactItemize}
26\item 
[172]27\hypertarget{classepdf_d8eb760037b3bad5a0d64081606697cd}{
28\hyperlink{classepdf_d8eb760037b3bad5a0d64081606697cd}{epdf} ()}
29\label{classepdf_d8eb760037b3bad5a0d64081606697cd}
[32]30
31\begin{CompactList}\small\item\em default constructor \item\end{CompactList}\item 
[172]32\hypertarget{classepdf_c95b1a27a8dd9507bb9a5a3cb2809c7a}{
33\hyperlink{classepdf_c95b1a27a8dd9507bb9a5a3cb2809c7a}{epdf} (const \hyperlink{classRV}{RV} \&rv0)}
34\label{classepdf_c95b1a27a8dd9507bb9a5a3cb2809c7a}
[32]35
36\begin{CompactList}\small\item\em default constructor \item\end{CompactList}\item 
[172]37\hypertarget{classepdf_8019654e494bf5e458f6fb947e11b262}{
38virtual vec \hyperlink{classepdf_8019654e494bf5e458f6fb947e11b262}{sample} () const =0}
39\label{classepdf_8019654e494bf5e458f6fb947e11b262}
[106]40
[172]41\begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 
[210]42\hypertarget{classepdf_76608914c3b19e150292d5c56e93e508}{
43virtual mat \hyperlink{classepdf_76608914c3b19e150292d5c56e93e508}{sample\_\-m} (int N) const }
44\label{classepdf_76608914c3b19e150292d5c56e93e508}
[172]45
[106]46\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
[172]47\hypertarget{classepdf_6aef3eca74899692503769c18add1a4c}{
48virtual double \hyperlink{classepdf_6aef3eca74899692503769c18add1a4c}{evalpdflog} (const vec \&val) const =0}
49\label{classepdf_6aef3eca74899692503769c18add1a4c}
[8]50
[32]51\begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 
[180]52\hypertarget{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{
53virtual vec \hyperlink{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{evalpdflog\_\-m} (const mat \&Val) const }
54\label{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}
[8]55
[172]56\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
[210]57\hypertarget{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{
58virtual \hyperlink{classmpdf}{mpdf} $\ast$ \hyperlink{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{condition} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
59\label{classepdf_e87dc8260a5c37bc1b03eb66174741a0}
[181]60
61\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 
[210]62\hypertarget{classepdf_38de9f59b65ee06028554f3f74b66025}{
63virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classepdf_38de9f59b65ee06028554f3f74b66025}{marginal} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
64\label{classepdf_38de9f59b65ee06028554f3f74b66025}
[181]65
66\begin{CompactList}\small\item\em Return marginal density on the given \hyperlink{classRV}{RV}, the remainig rvs are intergrated out. \item\end{CompactList}\item 
[172]67\hypertarget{classepdf_bf0a070a8f3e67a93604ca724638b870}{
68virtual vec \hyperlink{classepdf_bf0a070a8f3e67a93604ca724638b870}{mean} () const =0}
69\label{classepdf_bf0a070a8f3e67a93604ca724638b870}
70
[32]71\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
[172]72\hypertarget{classepdf_0a322dd106f04c0a2915e3d4f4227396}{
73virtual \hyperlink{classepdf_0a322dd106f04c0a2915e3d4f4227396}{$\sim$epdf} ()}
74\label{classepdf_0a322dd106f04c0a2915e3d4f4227396}
[32]75
[33]76\begin{CompactList}\small\item\em Destructor for future use;. \item\end{CompactList}\item 
[172]77\hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{
78const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const }
79\label{classepdf_ca0d32aabb4cbba347e0c37fe8607562}
[33]80
[172]81\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
82\hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{
83void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)}
84\label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}
85
86\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
[32]87\subsection*{Protected Attributes}
88\begin{CompactItemize}
89\item 
[172]90\hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{
91\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}}
92\label{classepdf_74da992e3f5d598da8850b646b79b9d9}
[32]93
[33]94\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}
[32]95
96
[8]97\subsection{Detailed Description}
98Probability density function with numerical statistics, e.g. posterior density.
99
[106]100The documentation for this class was generated from the following files:\begin{CompactItemize}
[8]101\item 
[172]102work/git/mixpp/bdm/stat/\hyperlink{libBM_8h}{libBM.h}\item 
[145]103work/git/mixpp/bdm/stat/libBM.cpp\end{CompactItemize}
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