\hypertarget{libBM_8h}{ \section{work/git/mixpp/bdm/stat/libBM.h File Reference} \label{libBM_8h}\index{work/git/mixpp/bdm/stat/libBM.h@{work/git/mixpp/bdm/stat/libBM.h}} } Bayesian Models (bm) that use Bayes rule to learn from observations. {\tt \#include $<$itpp/itbase.h$>$}\par {\tt \#include \char`\"{}../itpp\_\-ext.h\char`\"{}}\par Include dependency graph for libBM.h:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=106pt]{libBM_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=420pt]{libBM_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_1base}{bdm::base} \begin{CompactList}\small\item\em Root class of BDM objects. \item\end{CompactList}\item class \hyperlink{classbdm_1_1str}{bdm::str} \begin{CompactList}\small\item\em Structure of \hyperlink{classbdm_1_1RV}{RV} (used internally), i.e. expanded RVs. \item\end{CompactList}\item class \hyperlink{classbdm_1_1RV}{bdm::RV} \begin{CompactList}\small\item\em Class representing variables, most often random variables. \item\end{CompactList}\item class \hyperlink{classbdm_1_1fnc}{bdm::fnc} \begin{CompactList}\small\item\em Class representing function $f(x)$ of variable $x$ represented by {\tt rv}. \item\end{CompactList}\item class \hyperlink{classbdm_1_1epdf}{bdm::epdf} \begin{CompactList}\small\item\em Probability density function with numerical statistics, e.g. posterior density. \item\end{CompactList}\item class \hyperlink{classbdm_1_1mpdf}{bdm::mpdf} \begin{CompactList}\small\item\em Conditional probability density, e.g. modeling some dependencies. \item\end{CompactList}\item class \hyperlink{classbdm_1_1datalink__e2e}{bdm::datalink\_\-e2e} \item class \hyperlink{classbdm_1_1datalink__m2e}{bdm::datalink\_\-m2e} \begin{CompactList}\small\item\em data link between \item\end{CompactList}\item class \hyperlink{classbdm_1_1datalink__m2m}{bdm::datalink\_\-m2m} \item class \hyperlink{classbdm_1_1mepdf}{bdm::mepdf} \begin{CompactList}\small\item\em Unconditional \hyperlink{classbdm_1_1mpdf}{mpdf}, allows using \hyperlink{classbdm_1_1epdf}{epdf} in the role of \hyperlink{classbdm_1_1mpdf}{mpdf}. \item\end{CompactList}\item class \hyperlink{classbdm_1_1compositepdf}{bdm::compositepdf} \begin{CompactList}\small\item\em Abstract composition of pdfs, a \hyperlink{classbdm_1_1base}{base} for specific classes this abstract class is common to \hyperlink{classbdm_1_1epdf}{epdf} and \hyperlink{classbdm_1_1mpdf}{mpdf}. \item\end{CompactList}\item class \hyperlink{classbdm_1_1DS}{bdm::DS} \begin{CompactList}\small\item\em Abstract class for discrete-time sources of data. \item\end{CompactList}\item class \hyperlink{classbdm_1_1BM}{bdm::BM} \begin{CompactList}\small\item\em Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. \item\end{CompactList}\item class \hyperlink{classbdm_1_1BMcond}{bdm::BMcond} \begin{CompactList}\small\item\em Conditional Bayesian Filter. \item\end{CompactList}\end{CompactItemize} \subsection*{Functions} \begin{CompactItemize} \item \hypertarget{namespacebdm_b9016687c0e874ca5cdcf75ae28811aa}{ RV \hyperlink{namespacebdm_b9016687c0e874ca5cdcf75ae28811aa}{bdm::concat} (const RV \&rv1, const RV \&rv2)} \label{namespacebdm_b9016687c0e874ca5cdcf75ae28811aa} \begin{CompactList}\small\item\em Concat two random variables. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} Bayesian Models (bm) that use Bayes rule to learn from observations. \begin{Desc} \item[Author:]Vaclav Smidl.\end{Desc} ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty Using IT++ for numerical operations -----------------------------------