[19] | 1 | \section{work/mixpp/bdm/stat/libEF.h File Reference} |
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| 2 | \label{libEF_8h}\index{work/mixpp/bdm/stat/libEF.h@{work/mixpp/bdm/stat/libEF.h}} |
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[8] | 3 | Probability distributions for Exponential Family models. |
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| 4 | |
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| 5 | {\tt \#include $<$itpp/itbase.h$>$}\par |
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[19] | 6 | {\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par |
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| 7 | {\tt \#include \char`\"{}libBM.h\char`\"{}}\par |
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[32] | 8 | {\tt \#include \char`\"{}../itpp\_\-ext.h\char`\"{}}\par |
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[19] | 9 | |
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| 10 | |
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| 11 | Include dependency graph for libEF.h:\nopagebreak |
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| 12 | \begin{figure}[H] |
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| 13 | \begin{center} |
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| 14 | \leavevmode |
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[32] | 15 | \includegraphics[width=157pt]{libEF_8h__incl} |
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[19] | 16 | \end{center} |
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| 17 | \end{figure} |
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[32] | 18 | |
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| 19 | |
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| 20 | This graph shows which files directly or indirectly include this file:\nopagebreak |
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| 21 | \begin{figure}[H] |
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| 22 | \begin{center} |
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| 23 | \leavevmode |
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| 24 | \includegraphics[width=191pt]{libEF_8h__dep__incl} |
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| 25 | \end{center} |
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| 26 | \end{figure} |
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[8] | 27 | \subsection*{Classes} |
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| 28 | \begin{CompactItemize} |
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| 29 | \item |
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| 30 | class {\bf eEF} |
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| 31 | \begin{CompactList}\small\item\em General conjugate exponential family posterior density. \item\end{CompactList}\item |
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| 32 | class \textbf{mEF} |
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| 33 | \item |
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| 34 | class {\bf enorm$<$ sq\_\-T $>$} |
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[22] | 35 | \begin{CompactList}\small\item\em Gaussian density with positive definite (decomposed) covariance matrix. \item\end{CompactList}\item |
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[32] | 36 | class {\bf egamma} |
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| 37 | \begin{CompactList}\small\item\em Gamma posterior density. \item\end{CompactList}\item |
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| 38 | class {\bf emix} |
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| 39 | \begin{CompactList}\small\item\em Weighted mixture of epdfs with external owned components. \item\end{CompactList}\item |
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| 40 | class {\bf euni} |
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| 41 | \begin{CompactList}\small\item\em Uniform distributed density on a rectangular support. \item\end{CompactList}\item |
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| 42 | class {\bf mlnorm$<$ sq\_\-T $>$} |
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| 43 | \begin{CompactList}\small\item\em Normal distributed linear function with linear function of mean value;. \item\end{CompactList}\item |
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| 44 | class {\bf mgamma} |
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| 45 | \begin{CompactList}\small\item\em Gamma random walk. \item\end{CompactList}\item |
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| 46 | class {\bf eEmp} |
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| 47 | \begin{CompactList}\small\item\em Weighted empirical density. \item\end{CompactList}\end{CompactItemize} |
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| 48 | \subsection*{Enumerations} |
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| 49 | \begin{CompactItemize} |
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| 50 | \item |
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| 51 | enum {\bf RESAMPLING\_\-METHOD} \{ \textbf{MULTINOMIAL} = 0, |
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| 52 | \textbf{STRATIFIED} = 1, |
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| 53 | \textbf{SYSTEMATIC} = 3 |
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| 54 | \} |
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| 55 | \begin{CompactList}\small\item\em Switch between various resampling methods. \item\end{CompactList}\end{CompactItemize} |
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| 56 | \subsection*{Variables} |
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| 57 | \begin{CompactItemize} |
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| 58 | \item |
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| 59 | Uniform\_\-RNG {\bf UniRNG}\label{libEF_8h_2ae7dcdfebede774dd1b1f16cad10dd9} |
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| 60 | |
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| 61 | \begin{CompactList}\small\item\em Global Uniform\_\-RNG. \item\end{CompactList}\item |
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| 62 | Normal\_\-RNG \textbf{NorRNG}\label{libEF_8h_395c5925c8792aef3be4c360e91526c0} |
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| 63 | |
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| 64 | \item |
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| 65 | {\bf Gamma\_\-RNG} \textbf{GamRNG}\label{libEF_8h_884a8348c92a49725b78e2b6ab0bb802} |
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| 66 | |
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[8] | 67 | \end{CompactItemize} |
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| 68 | |
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| 69 | |
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| 70 | \subsection{Detailed Description} |
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| 71 | Probability distributions for Exponential Family models. |
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| 72 | |
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| 73 | \begin{Desc} |
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| 74 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 75 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 76 | |
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| 77 | Using IT++ for numerical operations ----------------------------------- |
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