\hypertarget{classmultiBM}{ \section{multiBM Class Reference} \label{classmultiBM}\index{multiBM@{multiBM}} } Estimator for Multinomial density. {\tt \#include $<$libEF.h$>$} Inheritance diagram for multiBM:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=49pt]{classmultiBM__inherit__graph} \end{center} \end{figure} Collaboration diagram for multiBM:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=69pt]{classmultiBM__coll__graph} \end{center} \end{figure} \subsection*{Public Member Functions} \begin{CompactItemize} \item \hypertarget{classmultiBM_7d7d7e78c129602bcde96078359dc6e5}{ \hyperlink{classmultiBM_7d7d7e78c129602bcde96078359dc6e5}{multiBM} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}, const vec beta0)} \label{classmultiBM_7d7d7e78c129602bcde96078359dc6e5} \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item \hypertarget{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09}{ \hyperlink{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09}{multiBM} (const \hyperlink{classmultiBM}{multiBM} \&B)} \label{classmultiBM_b92751adbfb9f259ca8c95232cfd9c09} \begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item \hypertarget{classmultiBM_42e36804041e551d3ceea6c75abc0562}{ void \hyperlink{classmultiBM_42e36804041e551d3ceea6c75abc0562}{set\_\-statistics} (const \hyperlink{classBM}{BM} $\ast$mB0)} \label{classmultiBM_42e36804041e551d3ceea6c75abc0562} \begin{CompactList}\small\item\em Sets sufficient statistics to match that of givefrom mB0. \item\end{CompactList}\item void \hyperlink{classmultiBM_11eeba7e97954e316e959116f90d80e2}{bayes} (const vec \&dt) \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item double \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{logpred} (const vec \&dt) const \item \hypertarget{classmultiBM_3988322f8f51b153622036f461f62a67}{ void \hyperlink{classmultiBM_3988322f8f51b153622036f461f62a67}{flatten} (const \hyperlink{classBMEF}{BMEF} $\ast$B)} \label{classmultiBM_3988322f8f51b153622036f461f62a67} \begin{CompactList}\small\item\em Flatten the posterior according to the given \hyperlink{classBMEF}{BMEF} (of the same type!). \item\end{CompactList}\item \hypertarget{classmultiBM_66cdfd83a70bc281840ab0646b941684}{ const \hyperlink{classepdf}{epdf} \& \hyperlink{classmultiBM_66cdfd83a70bc281840ab0646b941684}{\_\-epdf} () const } \label{classmultiBM_66cdfd83a70bc281840ab0646b941684} \begin{CompactList}\small\item\em Returns a pointer to the \hyperlink{classepdf}{epdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\item \hypertarget{classmultiBM_164117b1a5eb6f33db9b4b0f4b2d2842}{ void \textbf{set\_\-parameters} (const vec \&beta0)} \label{classmultiBM_164117b1a5eb6f33db9b4b0f4b2d2842} \item \hypertarget{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4}{ virtual void \hyperlink{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4}{set\_\-statistics} (const \hyperlink{classBMEF}{BMEF} $\ast$BM0)} \label{classBMEF_30bb40eb1fd31869b2e62e79e1ecdcb4} \begin{CompactList}\small\item\em get statistics from another model \item\end{CompactList}\item \hypertarget{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad}{ virtual void \hyperlink{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad}{bayes} (const vec \&data, const double w)} \label{classBMEF_8f4ecb6e2eaf630155a1fa98f35aa6ad} \begin{CompactList}\small\item\em Weighted update of sufficient statistics (Bayes rule). \item\end{CompactList}\item \hypertarget{classBMEF_c285f29db290d05428bf1aa2cd7c35ad}{ virtual void \hyperlink{classBMEF_c285f29db290d05428bf1aa2cd7c35ad}{flatten} (double nu0)} \label{classBMEF_c285f29db290d05428bf1aa2cd7c35ad} \begin{CompactList}\small\item\em Flatten the posterior as if to keep nu0 data. \item\end{CompactList}\item \hypertarget{classBM_0186270f75189677f390fe088a9947e9}{ virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)} \label{classBM_0186270f75189677f390fe088a9947e9} \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item \hypertarget{classBM_cd0660f2a1a344b56ac39802708ff165}{ vec \hyperlink{classBM_cd0660f2a1a344b56ac39802708ff165}{logpred\_\-m} (const mat \&dt) const } \label{classBM_cd0660f2a1a344b56ac39802708ff165} \begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item \hypertarget{classBM_a627c5a79cc6f5221b7e09675525e032}{ virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classBM_a627c5a79cc6f5221b7e09675525e032}{predictor} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv})} \label{classBM_a627c5a79cc6f5221b7e09675525e032} \begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item \hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{ const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const } \label{classBM_126bd2595c48e311fc2a7ab72876092a} \begin{CompactList}\small\item\em access function \item\end{CompactList}\item \hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{ double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const } \label{classBM_87f4a547d2c29180be88175e5eab9c88} \begin{CompactList}\small\item\em access function \item\end{CompactList}\item \hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{ void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)} \label{classBM_1ffa9f23669aabecc3760c06c6987522} \begin{CompactList}\small\item\em access function \item\end{CompactList}\item virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false) \end{CompactItemize} \subsection*{Protected Attributes} \begin{CompactItemize} \item \hypertarget{classmultiBM_eddee08a724170de63f36e40c57b27b5}{ \hyperlink{classeDirich}{eDirich} \hyperlink{classmultiBM_eddee08a724170de63f36e40c57b27b5}{est}} \label{classmultiBM_eddee08a724170de63f36e40c57b27b5} \begin{CompactList}\small\item\em Conjugate prior and posterior. \item\end{CompactList}\item \hypertarget{classmultiBM_7b606116aed7e8834a339cbb0424b1d6}{ vec \& \hyperlink{classmultiBM_7b606116aed7e8834a339cbb0424b1d6}{beta}} \label{classmultiBM_7b606116aed7e8834a339cbb0424b1d6} \begin{CompactList}\small\item\em Pointer inside est to sufficient statistics. \item\end{CompactList}\item \hypertarget{classBMEF_538d632e59f9afa8daa1de74da12ce71}{ double \hyperlink{classBMEF_538d632e59f9afa8daa1de74da12ce71}{frg}} \label{classBMEF_538d632e59f9afa8daa1de74da12ce71} \begin{CompactList}\small\item\em forgetting factor \item\end{CompactList}\item \hypertarget{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02}{ double \hyperlink{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02}{last\_\-lognc}} \label{classBMEF_308cf5d4133cd471fdf1ecd5dfa09d02} \begin{CompactList}\small\item\em cached value of lognc() in the previous step (used in evaluation of {\tt ll} ) \item\end{CompactList}\item \hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{ \hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}} \label{classBM_af00f0612fabe66241dd507188cdbf88} \begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item \hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{ double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}} \label{classBM_5623fef6572a08c2b53b8c87b82dc979} \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item \hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{ bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{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 computational time. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} Estimator for Multinomial density. \subsection{Member Function Documentation} \hypertarget{classmultiBM_11eeba7e97954e316e959116f90d80e2}{ \index{multiBM@{multiBM}!bayes@{bayes}} \index{bayes@{bayes}!multiBM@{multiBM}} \subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}void multiBM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt \mbox{[}inline, virtual\mbox{]}}}} \label{classmultiBM_11eeba7e97954e316e959116f90d80e2} Incremental Bayes rule. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em dt}]vector of input data \end{description} \end{Desc} Reimplemented from \hyperlink{classBMEF_52b7719312d545215cca1ff87722a35a}{BMEF}. References beta, est, BM::evalll, BMEF::frg, BMEF::last\_\-lognc, BM::ll, and eDirich::lognc(). Referenced by MixEF::bayes().\hypertarget{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{ \index{multiBM@{multiBM}!logpred@{logpred}} \index{logpred@{logpred}!multiBM@{multiBM}} \subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}double multiBM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt \mbox{[}inline, virtual\mbox{]}}}} \label{classmultiBM_13e26a61757278981fd8cac9a7ef91eb} Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. Reimplemented from \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{BM}. References eDirich::\_\-beta(), beta, est, BM::evalll, BMEF::frg, BMEF::last\_\-lognc, and eDirich::lognc(). Referenced by MixEF::bayes().\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ \index{multiBM@{multiBM}!\_\-copy\_\-@{\_\-copy\_\-}} \index{\_\-copy\_\-@{\_\-copy\_\-}!multiBM@{multiBM}} \subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ BM::\_\-copy\_\- (bool {\em changerv} = {\tt false})\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} \label{classBM_eb58c81d6a7b75b05fc6f276eed78887} Copy function required in vectors, Arrays of \hyperlink{classBM}{BM} etc. Have to be DELETED manually! Prototype: BM$\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-()}\{\hyperlink{classBM}{BM} Tmp$\ast$=new Tmp(this$\ast$); return Tmp; \} Reimplemented in \hyperlink{classARX_5de61fbd4f97fa3216760b1f733f5af0}{ARX}. Referenced by MixEF::init(). The documentation for this class was generated from the following file:\begin{CompactItemize} \item work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize}