| 1 | \section{eEF Class Reference} |
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| 2 | \label{classeEF}\index{eEF@{eEF}} |
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| 3 | General conjugate exponential family posterior density. |
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| 4 | |
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| 5 | |
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| 6 | {\tt \#include $<$libEF.h$>$} |
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| 7 | |
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| 8 | Inheritance diagram for eEF:\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]{classeEF__inherit__graph} |
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| 13 | \end{center} |
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| 14 | \end{figure} |
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| 15 | Collaboration diagram for eEF:\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=39pt]{classeEF__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 eEF} (const {\bf RV} \&{\bf rv})\label{classeEF_7e3c63655e8375c76bf1f421245427a7} |
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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 | virtual double {\bf lognc} () const =0\label{classeEF_69e5680dac10375d62520d26c672477d} |
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| 29 | |
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| 30 | \begin{CompactList}\small\item\em logarithm of the normalizing constant, $\mathcal{I}$ \item\end{CompactList}\item |
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| 31 | virtual void {\bf tupdate} (double phi, mat \&vbar, double nubar)\label{classeEF_fd88bc35550ec8fe9281d358216d0fcf} |
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| 32 | |
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| 33 | \begin{CompactList}\small\item\em TODO decide if it is really needed. \item\end{CompactList}\item |
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| 34 | virtual void {\bf dupdate} (mat \&v, double nu=1.0)\label{classeEF_5863718c3b2fb1496dece10c5b745d5c} |
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| 35 | |
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| 36 | \begin{CompactList}\small\item\em TODO decide if it is really needed. \item\end{CompactList}\item |
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| 37 | virtual vec {\bf sample} () const =0 |
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| 38 | \begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item |
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| 39 | virtual mat {\bf sampleN} (int N) const \label{classepdf_54d7dd53a641b618771cd9bee135181f} |
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| 40 | |
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| 41 | \begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item |
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| 42 | virtual double {\bf eval} (const vec \&val) const \label{classepdf_3ea597362e11a0040fe7c990269d072c} |
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| 43 | |
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| 44 | \begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item |
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| 45 | virtual double {\bf evalpdflog} (const vec \&val) const =0\label{classepdf_6aef3eca74899692503769c18add1a4c} |
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| 46 | |
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| 47 | \begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item |
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| 48 | virtual vec {\bf mean} () const =0\label{classepdf_bf0a070a8f3e67a93604ca724638b870} |
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| 49 | |
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| 50 | \begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item |
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| 51 | {\bf RV} \& {\bf \_\-rv} ()\label{classepdf_4778ea61ef400813e47750e024e9fc2f} |
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| 52 | |
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| 53 | \begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\end{CompactItemize} |
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| 54 | \subsection*{Protected Attributes} |
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| 55 | \begin{CompactItemize} |
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| 56 | \item |
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| 57 | {\bf RV} {\bf rv}\label{classepdf_74da992e3f5d598da8850b646b79b9d9} |
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| 58 | |
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| 59 | \begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize} |
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| 60 | |
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| 61 | |
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| 62 | \subsection{Detailed Description} |
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| 63 | General conjugate exponential family posterior density. |
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| 64 | |
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| 65 | More?... |
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| 66 | |
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| 67 | \subsection{Member Function Documentation} |
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| 68 | \index{eEF@{eEF}!sample@{sample}} |
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| 69 | \index{sample@{sample}!eEF@{eEF}} |
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| 70 | \subsubsection[sample]{\setlength{\rightskip}{0pt plus 5cm}virtual vec epdf::sample () const\hspace{0.3cm}{\tt [pure virtual, inherited]}}\label{classepdf_8019654e494bf5e458f6fb947e11b262} |
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| 71 | |
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| 72 | |
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| 73 | Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. |
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| 74 | |
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| 75 | Returns a sample, $x$ from density $epdf(rv)$ |
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| 76 | |
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| 77 | Implemented in {\bf emix} \doxyref{}{p.}{classemix_0650601f24e633e0ab09aa1e46c14483}, {\bf enorm$<$ sq\_\-T $>$} \doxyref{}{p.}{classenorm_60b47544f6181ffd4530d3e415ce12c5}, {\bf egiw} \doxyref{}{p.}{classegiw_3d2c1f2ba0f9966781f1e0ae695e8a6f}, {\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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| 78 | |
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| 79 | Referenced by mpdf::samplecond(), PF::set\_\-est(), and eEmp::set\_\-parameters(). |
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| 80 | |
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| 81 | The documentation for this class was generated from the following file:\begin{CompactItemize} |
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| 82 | \item |
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| 83 | work/git/mixpp/bdm/stat/{\bf libEF.h}\end{CompactItemize} |
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