Changeset 172 for doc/latex/classeprod.tex
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doc/latex/classeprod.tex
r145 r172 1 \hypertarget{classeprod}{ 1 2 \section{eprod Class Reference} 2 3 \label{classeprod}\index{eprod@{eprod}} 3 Chain rule decomposition of \doxyref{epdf}{p.}{classepdf}. 4 } 5 Product of independent epdfs. For dependent pdfs, use \hyperlink{classmprod}{mprod}. 4 6 5 7 … … 23 25 \begin{CompactItemize} 24 26 \item 25 \textbf{eprod} (Array$<$ {\bf epdf} $>$ Facs)\label{classeprod_6c76cb1658c345cc30374c340608006c} 27 \hypertarget{classeprod_288ace3ff1df274dfa89e1a641448a43}{ 28 \textbf{eprod} (const Array$<$ const \hyperlink{classepdf}{epdf} $\ast$ $>$ epdfs0)} 29 \label{classeprod_288ace3ff1df274dfa89e1a641448a43} 26 30 27 31 \item 28 virtual vec {\bf sample} () const =0 29 \begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 30 virtual mat {\bf sampleN} (int N) const \label{classepdf_54d7dd53a641b618771cd9bee135181f} 32 \hypertarget{classeprod_5752dd999e1f4638f9558b0cc35b64f7}{ 33 vec \hyperlink{classeprod_5752dd999e1f4638f9558b0cc35b64f7}{mean} () const } 34 \label{classeprod_5752dd999e1f4638f9558b0cc35b64f7} 35 36 \begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 37 \hypertarget{classeprod_94a5b7c44056cf7f4e688d53ba6295b4}{ 38 vec \hyperlink{classeprod_94a5b7c44056cf7f4e688d53ba6295b4}{sample} () const } 39 \label{classeprod_94a5b7c44056cf7f4e688d53ba6295b4} 40 41 \begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 42 \hypertarget{classeprod_5adef154e3655a872c284b02635b8b35}{ 43 double \hyperlink{classeprod_5adef154e3655a872c284b02635b8b35}{evalpdflog} (const vec \&val) const } 44 \label{classeprod_5adef154e3655a872c284b02635b8b35} 45 46 \begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 47 \hypertarget{classeprod_c049331d8b1ec7e4c088cf0cc6d47f3f}{ 48 const \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classeprod_c049331d8b1ec7e4c088cf0cc6d47f3f}{operator()} (int i) const } 49 \label{classeprod_c049331d8b1ec7e4c088cf0cc6d47f3f} 50 51 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 52 \hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{ 53 virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const } 54 \label{classepdf_54d7dd53a641b618771cd9bee135181f} 31 55 32 56 \begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 33 virtual double {\bf eval} (const vec \&val) const \label{classepdf_3ea597362e11a0040fe7c990269d072c} 57 \hypertarget{classepdf_3ea597362e11a0040fe7c990269d072c}{ 58 virtual double \hyperlink{classepdf_3ea597362e11a0040fe7c990269d072c}{eval} (const vec \&val) const } 59 \label{classepdf_3ea597362e11a0040fe7c990269d072c} 34 60 35 61 \begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 36 virtual double {\bf evalpdflog} (const vec \&val) const =0\label{classepdf_6aef3eca74899692503769c18add1a4c} 62 \hypertarget{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{ 63 virtual vec \hyperlink{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{evalpdflog} (const mat \&Val) const } 64 \label{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877} 37 65 38 \begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 39 virtual vec {\bf mean} () const =0\label{classepdf_bf0a070a8f3e67a93604ca724638b870} 66 \begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 67 \hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{ 68 const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const } 69 \label{classepdf_ca0d32aabb4cbba347e0c37fe8607562} 40 70 41 \begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 42 {\bf RV} {\bf \_\-rv} () const \label{classepdf_b89143f12c9b49282e30841e4fb5f337} 71 \begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 72 \hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{ 73 void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)} 74 \label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5} 43 75 44 \begin{CompactList}\small\item\em access function\item\end{CompactList}\end{CompactItemize}76 \begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize} 45 77 \subsection*{Protected Attributes} 46 78 \begin{CompactItemize} 47 79 \item 48 Array$<$ {\bf epdf} $\ast$ $>$ \textbf{epdfs}\label{classeprod_5307a27aaf48be8213294b05ac533c39} 80 \hypertarget{classeprod_63fc0db078542bce1c5dff94f9c3a357}{ 81 Array$<$ const \hyperlink{classepdf}{epdf} $\ast$ $>$ \hyperlink{classeprod_63fc0db078542bce1c5dff94f9c3a357}{epdfs}} 82 \label{classeprod_63fc0db078542bce1c5dff94f9c3a357} 49 83 50 \item 51 Array$<$ {\bf mpdf} $\ast$ $>$ \textbf{mpdfs}\label{classeprod_a4387c81276ca66c1ca9336cf8bf74a8} 84 \begin{CompactList}\small\item\em Components (epdfs). \item\end{CompactList}\item 85 \hypertarget{classeprod_a471987de1115dc639eccff65f3b9aa3}{ 86 Array$<$ ivec $>$ \hyperlink{classeprod_a471987de1115dc639eccff65f3b9aa3}{rvinds}} 87 \label{classeprod_a471987de1115dc639eccff65f3b9aa3} 52 88 53 \item 54 ivec \textbf{sizes}\label{classeprod_68b66b05b3b6987472247f541846a366} 55 56 \item 57 {\bf RV} {\bf rv}\label{classepdf_74da992e3f5d598da8850b646b79b9d9} 89 \begin{CompactList}\small\item\em Array of indeces. \item\end{CompactList}\item 90 \hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{ 91 \hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}} 92 \label{classepdf_74da992e3f5d598da8850b646b79b9d9} 58 93 59 94 \begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize} … … 61 96 62 97 \subsection{Detailed Description} 63 Chain rule decomposition of \doxyref{epdf}{p.}{classepdf}. 64 65 Probability density in the form of Chain-rule decomposition: $\backslash$[ f(x\_\-1,x\_\-2,x\_\-3) = f(x\_\-1$|$x\_\-2,x\_\-3)f(x\_\-2,x\_\-3)f(x\_\-3) $\backslash$] Note that 66 67 \subsection{Member Function Documentation} 68 \index{eprod@{eprod}!sample@{sample}} 69 \index{sample@{sample}!eprod@{eprod}} 70 \subsubsection[sample]{\setlength{\rightskip}{0pt plus 5cm}virtual vec epdf::sample () const\hspace{0.3cm}{\tt [pure virtual, inherited]}}\label{classepdf_8019654e494bf5e458f6fb947e11b262} 71 72 73 Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. 74 75 Returns a sample, $x$ from density $epdf(rv)$ 76 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}. 78 79 Referenced by mpdf::samplecond(), PF::set\_\-est(), and eEmp::set\_\-parameters(). 98 Product of independent epdfs. For dependent pdfs, use \hyperlink{classmprod}{mprod}. 80 99 81 100 The documentation for this class was generated from the following file:\begin{CompactItemize} 82 101 \item 83 work/git/mixpp/bdm/stat/ {\bfemix.h}\end{CompactItemize}102 work/git/mixpp/bdm/stat/\hyperlink{emix_8h}{emix.h}\end{CompactItemize}