root/doc/latex/libBM_8h.tex @ 261

\hypertarget{libBM_8h}{
\section{libBM.h File Reference}
\label{libBM_8h}\index{libBM.h@{libBM.h}}
}
Bayesian Models (bm) that use Bayes rule to learn from observations. 

{\tt \#include \char`\"{}../itpp\_\-ext.h\char`\"{}}\par


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\subsection*{Namespaces}
\begin{CompactItemize}
\item 
namespace \hyperlink{namespacebdm}{bdm}
\end{CompactItemize}
\subsection*{Classes}
\begin{CompactItemize}
\item 
class \hyperlink{classbdm_1_1bdmroot}{bdm::bdmroot}
\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}
\begin{CompactList}\small\item\em DataLink is a connection between two data vectors Up and Down. \item\end{CompactList}\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, will be used 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 -----------------------------------