\hypertarget{emix_8h}{ \section{work/git/mixpp/bdm/stat/emix.h File Reference} \label{emix_8h}\index{work/git/mixpp/bdm/stat/emix.h@{work/git/mixpp/bdm/stat/emix.h}} } Probability distributions for Mixtures of pdfs. {\tt \#include \char`\"{}libBM.h\char`\"{}}\par {\tt \#include \char`\"{}libEF.h\char`\"{}}\par Include dependency graph for emix.h:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=138pt]{emix_8h__incl} \end{center} \end{figure} This graph shows which files directly or indirectly include this file:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=218pt]{emix_8h__dep__incl} \end{center} \end{figure} \subsection*{Namespaces} \begin{CompactItemize} \item namespace \textbf{bdm} \end{CompactItemize} \subsection*{Classes} \begin{CompactItemize} \item class \hyperlink{classbdm_1_1mratio}{bdm::mratio} \begin{CompactList}\small\item\em Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: \[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \] where $ f(rvc) = \int f(rv,rvc) d\ rv $. \item\end{CompactList}\item class \hyperlink{classbdm_1_1emix}{bdm::emix} \begin{CompactList}\small\item\em Mixture of epdfs. \item\end{CompactList}\item class \hyperlink{classbdm_1_1mprod}{bdm::mprod} \begin{CompactList}\small\item\em Chain rule decomposition of \hyperlink{classbdm_1_1epdf}{epdf}. \item\end{CompactList}\item class \hyperlink{classbdm_1_1eprod}{bdm::eprod} \begin{CompactList}\small\item\em Product of independent epdfs. For dependent pdfs, use \hyperlink{classbdm_1_1mprod}{mprod}. \item\end{CompactList}\item class \hyperlink{classbdm_1_1mmix}{bdm::mmix} \begin{CompactList}\small\item\em Mixture of mpdfs with constant weights, all mpdfs are of equal type. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} Probability distributions for Mixtures of pdfs. \begin{Desc} \item[Author:]Vaclav Smidl.\end{Desc} ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty Using IT++ for numerical operations -----------------------------------