\section{BM Class Reference} \label{classBM}\index{BM@{BM}} Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. {\tt \#include $<$libBM.h$>$} Inheritance diagram for BM:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=161pt]{classBM__inherit__graph} \end{center} \end{figure} \subsection*{Public Member Functions} \begin{CompactItemize} \item {\bf BM} ()\label{classBM_ef32a12f4f89e4000bf5390ceda762ae} \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item virtual void {\bf bayes} (const vec \&dt)=0 \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9} \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item {\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077} \begin{CompactList}\small\item\em Returns a pointer to the \doxyref{epdf}{p.}{classepdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\end{CompactItemize} \subsection*{Public Attributes} \begin{CompactItemize} \item double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} \begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save time. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. \subsection{Member Function Documentation} \index{BM@{BM}!bayes@{bayes}} \index{bayes@{bayes}!BM@{BM}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt [pure virtual]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf} Incremental Bayes rule. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em dt}]vector of input data \end{description} \end{Desc} The documentation for this class was generated from the following file:\begin{CompactItemize} \item work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}