Changeset 172 for doc/latex/classeEmp.tex
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- 09/24/08 13:31:03 (16 years ago)
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doc/latex/classeEmp.tex
r162 r172 1 \hypertarget{classeEmp}{ 1 2 \section{eEmp Class Reference} 2 3 \label{classeEmp}\index{eEmp@{eEmp}} 4 } 3 5 Weighted empirical density. 4 6 … … 23 25 \begin{CompactItemize} 24 26 \item 25 {\bf eEmp} (const {\bf RV} \&rv0, int n0)\label{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4} 27 \hypertarget{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4}{ 28 \hyperlink{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4}{eEmp} (const \hyperlink{classRV}{RV} \&rv0, int n0)} 29 \label{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4} 26 30 27 31 \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 28 void {\bf set\_\-parameters} (const vec \&w0, {\bf epdf} $\ast$pdf0)\label{classeEmp_6606a656c1b28114f7384c25aaf80e8d} 32 \hypertarget{classeEmp_6606a656c1b28114f7384c25aaf80e8d}{ 33 void \hyperlink{classeEmp_6606a656c1b28114f7384c25aaf80e8d}{set\_\-parameters} (const vec \&w0, \hyperlink{classepdf}{epdf} $\ast$pdf0)} 34 \label{classeEmp_6606a656c1b28114f7384c25aaf80e8d} 29 35 30 36 \begin{CompactList}\small\item\em Set sample. \item\end{CompactList}\item 31 vec \& {\bf \_\-w} ()\label{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b} 37 \hypertarget{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b}{ 38 vec \& \hyperlink{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b}{\_\-w} ()} 39 \label{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b} 32 40 33 41 \begin{CompactList}\small\item\em Potentially dangerous, use with care. \item\end{CompactList}\item 34 Array$<$ vec $>$ \& {\bf \_\-samples} ()\label{classeEmp_31b747eca73b16f30370827ba4cc3575} 42 \hypertarget{classeEmp_31b747eca73b16f30370827ba4cc3575}{ 43 Array$<$ vec $>$ \& \hyperlink{classeEmp_31b747eca73b16f30370827ba4cc3575}{\_\-samples} ()} 44 \label{classeEmp_31b747eca73b16f30370827ba4cc3575} 35 45 36 46 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 37 ivec {\bf resample} ({\bf RESAMPLING\_\-METHOD} method=SYSTEMATIC)\label{classeEmp_77268292fc4465cb73ddbfb1f2932a59} 47 \hypertarget{classeEmp_77268292fc4465cb73ddbfb1f2932a59}{ 48 ivec \hyperlink{classeEmp_77268292fc4465cb73ddbfb1f2932a59}{resample} (\hyperlink{libEF_8h_99497a3ff630f761cf6bff7babd23212}{RESAMPLING\_\-METHOD} method=SYSTEMATIC)} 49 \label{classeEmp_77268292fc4465cb73ddbfb1f2932a59} 38 50 39 51 \begin{CompactList}\small\item\em Function performs resampling, i.e. removal of low-weight samples and duplication of high-weight samples such that the new samples represent the same density. \item\end{CompactList}\item 40 vec {\bf sample} () const \label{classeEmp_83f9283f92b805508d896479dc1ccf12} 52 \hypertarget{classeEmp_83f9283f92b805508d896479dc1ccf12}{ 53 vec \hyperlink{classeEmp_83f9283f92b805508d896479dc1ccf12}{sample} () const } 54 \label{classeEmp_83f9283f92b805508d896479dc1ccf12} 41 55 42 56 \begin{CompactList}\small\item\em inherited operation : NOT implemneted \item\end{CompactList}\item 43 double {\bf evalpdflog} (const vec \&val) const \label{classeEmp_23e7358995400865ad2e278945922fb3} 57 \hypertarget{classeEmp_23e7358995400865ad2e278945922fb3}{ 58 double \hyperlink{classeEmp_23e7358995400865ad2e278945922fb3}{evalpdflog} (const vec \&val) const } 59 \label{classeEmp_23e7358995400865ad2e278945922fb3} 44 60 45 61 \begin{CompactList}\small\item\em inherited operation : NOT implemneted \item\end{CompactList}\item 46 vec {\bf mean} () const \label{classeEmp_ba055c19038cc72628d98e25197e982d} 62 \hypertarget{classeEmp_ba055c19038cc72628d98e25197e982d}{ 63 vec \hyperlink{classeEmp_ba055c19038cc72628d98e25197e982d}{mean} () const } 64 \label{classeEmp_ba055c19038cc72628d98e25197e982d} 47 65 48 66 \begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 49 virtual mat {\bf sampleN} (int N) const \label{classepdf_54d7dd53a641b618771cd9bee135181f} 67 \hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{ 68 virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const } 69 \label{classepdf_54d7dd53a641b618771cd9bee135181f} 50 70 51 71 \begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 52 virtual double {\bf eval} (const vec \&val) const \label{classepdf_3ea597362e11a0040fe7c990269d072c} 72 \hypertarget{classepdf_3ea597362e11a0040fe7c990269d072c}{ 73 virtual double \hyperlink{classepdf_3ea597362e11a0040fe7c990269d072c}{eval} (const vec \&val) const } 74 \label{classepdf_3ea597362e11a0040fe7c990269d072c} 53 75 54 76 \begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 55 {\bf RV} \& {\bf \_\-rv} ()\label{classepdf_4778ea61ef400813e47750e024e9fc2f} 77 \hypertarget{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{ 78 virtual vec \hyperlink{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{evalpdflog} (const mat \&Val) const } 79 \label{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877} 56 80 57 \begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\end{CompactItemize} 81 \begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 82 \hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{ 83 const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const } 84 \label{classepdf_ca0d32aabb4cbba347e0c37fe8607562} 85 86 \begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 87 \hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{ 88 void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)} 89 \label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5} 90 91 \begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize} 58 92 \subsection*{Protected Attributes} 59 93 \begin{CompactItemize} 60 94 \item 61 int {\bf n}\label{classeEmp_8c33034de0e35f03f8bb85d3d67438fd} 95 \hypertarget{classeEmp_8c33034de0e35f03f8bb85d3d67438fd}{ 96 int \hyperlink{classeEmp_8c33034de0e35f03f8bb85d3d67438fd}{n}} 97 \label{classeEmp_8c33034de0e35f03f8bb85d3d67438fd} 62 98 63 99 \begin{CompactList}\small\item\em Number of particles. \item\end{CompactList}\item 64 vec {\bf w}\label{classeEmp_ae78d144404ddba843c93b171b215de8} 100 \hypertarget{classeEmp_ae78d144404ddba843c93b171b215de8}{ 101 vec \hyperlink{classeEmp_ae78d144404ddba843c93b171b215de8}{w}} 102 \label{classeEmp_ae78d144404ddba843c93b171b215de8} 65 103 66 104 \begin{CompactList}\small\item\em Sample weights $w$. \item\end{CompactList}\item 67 Array$<$ vec $>$ {\bf samples}\label{classeEmp_a4d6f4bbd6a6824fc39f14676701279a} 105 \hypertarget{classeEmp_a4d6f4bbd6a6824fc39f14676701279a}{ 106 Array$<$ vec $>$ \hyperlink{classeEmp_a4d6f4bbd6a6824fc39f14676701279a}{samples}} 107 \label{classeEmp_a4d6f4bbd6a6824fc39f14676701279a} 68 108 69 109 \begin{CompactList}\small\item\em Samples $x^{(i)}, i=1..n$. \item\end{CompactList}\item 70 {\bf RV} {\bf rv}\label{classepdf_74da992e3f5d598da8850b646b79b9d9} 110 \hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{ 111 \hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}} 112 \label{classepdf_74da992e3f5d598da8850b646b79b9d9} 71 113 72 114 \begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize} … … 80 122 The documentation for this class was generated from the following files:\begin{CompactItemize} 81 123 \item 82 work/git/mixpp/bdm/stat/ {\bflibEF.h}\item124 work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\item 83 125 work/git/mixpp/bdm/stat/libEF.cpp\end{CompactItemize}