\hypertarget{classbdm_1_1BMEF}{
\section{bdm::BMEF Class Reference}
\label{classbdm_1_1BMEF}\index{bdm::BMEF@{bdm::BMEF}}
}
Estimator for Exponential family.  


{\tt \#include $<$libEF.h$>$}

Inheritance diagram for bdm::BMEF:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=147pt]{classbdm_1_1BMEF__inherit__graph}
\end{center}
\end{figure}
Collaboration diagram for bdm::BMEF:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=75pt]{classbdm_1_1BMEF__coll__graph}
\end{center}
\end{figure}
\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
\hypertarget{classbdm_1_1BMEF_73bccd1d8142d4d330e35637ca30decc}{
\hyperlink{classbdm_1_1BMEF_73bccd1d8142d4d330e35637ca30decc}{BMEF} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1BM_18d6db4af8ee42077741d9e3618153ca}{rv}, double frg0=1.0)}
\label{classbdm_1_1BMEF_73bccd1d8142d4d330e35637ca30decc}

\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{
\hyperlink{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{BMEF} (const \hyperlink{classbdm_1_1BMEF}{BMEF} \&B)}
\label{classbdm_1_1BMEF_9662379513101405e159e76717104e62}

\begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{
virtual void \hyperlink{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{set\_\-statistics} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$BM0)}
\label{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}

\begin{CompactList}\small\item\em get statistics from another model \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{
virtual void \hyperlink{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{bayes} (const vec \&data, const double w)}
\label{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}

\begin{CompactList}\small\item\em Weighted update of sufficient statistics (Bayes rule). \item\end{CompactList}\item 
void \hyperlink{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{bayes} (const vec \&dt)
\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{
virtual void \hyperlink{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{flatten} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$B)}
\label{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}

\begin{CompactList}\small\item\em Flatten the posterior according to the given \hyperlink{classbdm_1_1BMEF}{BMEF} (of the same type!). \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{
\hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$ \hyperlink{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{\_\-copy\_\-} (bool changerv=false)}
\label{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}

\begin{CompactList}\small\item\em Flatten the posterior as if to keep nu0 data. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{
virtual void \hyperlink{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{bayesB} (const mat \&Dt)}
\label{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}

\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_963258c4c2dd05be001003b19aceefef}{
virtual const \hyperlink{classbdm_1_1epdf}{epdf} \& \hyperlink{classbdm_1_1BM_963258c4c2dd05be001003b19aceefef}{\_\-epdf} () const =0}
\label{classbdm_1_1BM_963258c4c2dd05be001003b19aceefef}

\begin{CompactList}\small\item\em Returns a reference to the \hyperlink{classbdm_1_1epdf}{epdf} representing posterior density on parameters. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}{
virtual const \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}{\_\-e} () const =0}
\label{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}

\begin{CompactList}\small\item\em Returns a pointer to the \hyperlink{classbdm_1_1epdf}{epdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\item 
virtual double \hyperlink{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{logpred} (const vec \&dt) const 
\item 
\hypertarget{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{
vec \hyperlink{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{logpred\_\-m} (const mat \&dt) const }
\label{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}

\begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_710e7d69c0d8791fb41a7cd4683cca2c}{
virtual \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1BM_710e7d69c0d8791fb41a7cd4683cca2c}{predictor} (const \hyperlink{classbdm_1_1RV}{RV} \&\hyperlink{classbdm_1_1BM_18d6db4af8ee42077741d9e3618153ca}{rv}) const }
\label{classbdm_1_1BM_710e7d69c0d8791fb41a7cd4683cca2c}

\begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_40a3c891996391e3135518053a917793}{
const \hyperlink{classbdm_1_1RV}{RV} \& \hyperlink{classbdm_1_1BM_40a3c891996391e3135518053a917793}{\_\-rv} () const }
\label{classbdm_1_1BM_40a3c891996391e3135518053a917793}

\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}{
double \hyperlink{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}{\_\-ll} () const }
\label{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}

\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}{
void \hyperlink{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}{set\_\-evalll} (bool evl0)}
\label{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}

\begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
\hypertarget{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{
double \hyperlink{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{frg}}
\label{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}

\begin{CompactList}\small\item\em forgetting factor \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{
double \hyperlink{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{last\_\-lognc}}
\label{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}

\begin{CompactList}\small\item\em cached value of lognc() in the previous step (used in evaluation of {\tt ll} ) \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_18d6db4af8ee42077741d9e3618153ca}{
\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1BM_18d6db4af8ee42077741d9e3618153ca}{rv}}
\label{classbdm_1_1BM_18d6db4af8ee42077741d9e3618153ca}

\begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{
double \hyperlink{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ll}}
\label{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}

\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
\hypertarget{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{
bool \hyperlink{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{evalll}}
\label{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}

\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 computational time. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Estimator for Exponential family. 

\subsection{Member Function Documentation}
\hypertarget{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{
\index{bdm::BMEF@{bdm::BMEF}!bayes@{bayes}}
\index{bayes@{bayes}!bdm::BMEF@{bdm::BMEF}}
\subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}void bdm::BMEF::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  \mbox{[}virtual\mbox{]}}}}
\label{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}


Incremental Bayes rule. 

\begin{Desc}
\item[Parameters:]
\begin{description}
\item[{\em dt}]vector of input data \end{description}
\end{Desc}


Implements \hyperlink{classbdm_1_1BM_60b1779a577367c369a932cabd3a6188}{bdm::BM}.

Reimplemented in \hyperlink{classbdm_1_1ARX_8bdf2974052e8ce74eb0d4f3791c58a3}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_5bd7da667da183eed1577f11dff0c1f1}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_1e4bf41b61937fd80f34049742e23f95}{bdm::multiBM}.

References bayes().\hypertarget{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{
\index{bdm::BMEF@{bdm::BMEF}!logpred@{logpred}}
\index{logpred@{logpred}!bdm::BMEF@{bdm::BMEF}}
\subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double bdm::BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
\label{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}


Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. 

Reimplemented in \hyperlink{classbdm_1_1ARX_080a7e531e3aa06694112863b15bc6a4}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_da724da464a75e07521941e430929efa}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_e157b607c1e3fa91d42aeea44458e2bf}{bdm::multiBM}.

Referenced by bdm::BM::logpred\_\-m().

The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
\hyperlink{libEF_8h}{libEF.h}\item 
libEF.cpp\end{CompactItemize}
