root/doc/latex/classeEmp.tex @ 180

Revision 180, 6.4 kB (checked in by smidl, 16 years ago)

Modifications of BDM to reflect changes in basics

  • Property svn:eol-style set to native
Line 
1\hypertarget{classeEmp}{
2\section{eEmp Class Reference}
3\label{classeEmp}\index{eEmp@{eEmp}}
4}
5Weighted empirical density. 
6
7
8{\tt \#include $<$libEF.h$>$}
9
10Inheritance diagram for eEmp:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
14\includegraphics[width=43pt]{classeEmp__inherit__graph}
15\end{center}
16\end{figure}
17Collaboration diagram for eEmp:\nopagebreak
18\begin{figure}[H]
19\begin{center}
20\leavevmode
21\includegraphics[width=43pt]{classeEmp__coll__graph}
22\end{center}
23\end{figure}
24\subsection*{Public Member Functions}
25\begin{CompactItemize}
26\item 
27\hypertarget{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4}{
28\hyperlink{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4}{eEmp} (const \hyperlink{classRV}{RV} \&rv0, int n0)}
29\label{classeEmp_0c04b073ecd0dae3d498e680ae27e9e4}
30
31\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
32\hypertarget{classeEmp_eab03bd3381aaea11ce34d5a26556353}{
33void \hyperlink{classeEmp_eab03bd3381aaea11ce34d5a26556353}{set\_\-parameters} (const vec \&w0, const \hyperlink{classepdf}{epdf} $\ast$pdf0)}
34\label{classeEmp_eab03bd3381aaea11ce34d5a26556353}
35
36\begin{CompactList}\small\item\em Set samples and weights. \item\end{CompactList}\item 
37\hypertarget{classeEmp_e31bc9e6196173c3480b06a761a3e716}{
38void \hyperlink{classeEmp_e31bc9e6196173c3480b06a761a3e716}{set\_\-samples} (const \hyperlink{classepdf}{epdf} $\ast$pdf0)}
39\label{classeEmp_e31bc9e6196173c3480b06a761a3e716}
40
41\begin{CompactList}\small\item\em Set sample. \item\end{CompactList}\item 
42\hypertarget{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b}{
43vec \& \hyperlink{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b}{\_\-w} ()}
44\label{classeEmp_31b2bfb73b72486a5c89f2ab850c7a9b}
45
46\begin{CompactList}\small\item\em Potentially dangerous, use with care. \item\end{CompactList}\item 
47\hypertarget{classeEmp_31b747eca73b16f30370827ba4cc3575}{
48Array$<$ vec $>$ \& \hyperlink{classeEmp_31b747eca73b16f30370827ba4cc3575}{\_\-samples} ()}
49\label{classeEmp_31b747eca73b16f30370827ba4cc3575}
50
51\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
52\hypertarget{classeEmp_77268292fc4465cb73ddbfb1f2932a59}{
53ivec \hyperlink{classeEmp_77268292fc4465cb73ddbfb1f2932a59}{resample} (\hyperlink{libEF_8h_99497a3ff630f761cf6bff7babd23212}{RESAMPLING\_\-METHOD} method=SYSTEMATIC)}
54\label{classeEmp_77268292fc4465cb73ddbfb1f2932a59}
55
56\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 
57\hypertarget{classeEmp_83f9283f92b805508d896479dc1ccf12}{
58vec \hyperlink{classeEmp_83f9283f92b805508d896479dc1ccf12}{sample} () const }
59\label{classeEmp_83f9283f92b805508d896479dc1ccf12}
60
61\begin{CompactList}\small\item\em inherited operation : NOT implemneted \item\end{CompactList}\item 
62\hypertarget{classeEmp_23e7358995400865ad2e278945922fb3}{
63double \hyperlink{classeEmp_23e7358995400865ad2e278945922fb3}{evalpdflog} (const vec \&val) const }
64\label{classeEmp_23e7358995400865ad2e278945922fb3}
65
66\begin{CompactList}\small\item\em inherited operation : NOT implemneted \item\end{CompactList}\item 
67\hypertarget{classeEmp_ba055c19038cc72628d98e25197e982d}{
68vec \hyperlink{classeEmp_ba055c19038cc72628d98e25197e982d}{mean} () const }
69\label{classeEmp_ba055c19038cc72628d98e25197e982d}
70
71\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
72\hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{
73virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const }
74\label{classepdf_54d7dd53a641b618771cd9bee135181f}
75
76\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
77\hypertarget{classepdf_3ea597362e11a0040fe7c990269d072c}{
78virtual double \hyperlink{classepdf_3ea597362e11a0040fe7c990269d072c}{eval} (const vec \&val) const }
79\label{classepdf_3ea597362e11a0040fe7c990269d072c}
80
81\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 
82\hypertarget{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{
83virtual vec \hyperlink{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{evalpdflog\_\-m} (const mat \&Val) const }
84\label{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}
85
86\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
87\hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{
88const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const }
89\label{classepdf_ca0d32aabb4cbba347e0c37fe8607562}
90
91\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
92\hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{
93void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)}
94\label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}
95
96\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
97\subsection*{Protected Attributes}
98\begin{CompactItemize}
99\item 
100\hypertarget{classeEmp_8c33034de0e35f03f8bb85d3d67438fd}{
101int \hyperlink{classeEmp_8c33034de0e35f03f8bb85d3d67438fd}{n}}
102\label{classeEmp_8c33034de0e35f03f8bb85d3d67438fd}
103
104\begin{CompactList}\small\item\em Number of particles. \item\end{CompactList}\item 
105\hypertarget{classeEmp_ae78d144404ddba843c93b171b215de8}{
106vec \hyperlink{classeEmp_ae78d144404ddba843c93b171b215de8}{w}}
107\label{classeEmp_ae78d144404ddba843c93b171b215de8}
108
109\begin{CompactList}\small\item\em Sample weights $w$. \item\end{CompactList}\item 
110\hypertarget{classeEmp_a4d6f4bbd6a6824fc39f14676701279a}{
111Array$<$ vec $>$ \hyperlink{classeEmp_a4d6f4bbd6a6824fc39f14676701279a}{samples}}
112\label{classeEmp_a4d6f4bbd6a6824fc39f14676701279a}
113
114\begin{CompactList}\small\item\em Samples $x^{(i)}, i=1..n$. \item\end{CompactList}\item 
115\hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{
116\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}}
117\label{classepdf_74da992e3f5d598da8850b646b79b9d9}
118
119\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}
120
121
122\subsection{Detailed Description}
123Weighted empirical density.
124
125Used e.g. in particle filters.
126
127The documentation for this class was generated from the following files:\begin{CompactItemize}
128\item 
129work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\item 
130work/git/mixpp/bdm/stat/libEF.cpp\end{CompactItemize}
Note: See TracBrowser for help on using the browser.