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