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1\hypertarget{classBM}{
2\section{BM Class Reference}
3\label{classBM}\index{BM@{BM}}
4}
5Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 
6
7
8{\tt \#include $<$libBM.h$>$}
9
10Inheritance diagram for BM:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
14\includegraphics[width=400pt]{classBM__inherit__graph}
15\end{center}
16\end{figure}
17Collaboration diagram for BM:\nopagebreak
18\begin{figure}[H]
19\begin{center}
20\leavevmode
21\includegraphics[width=37pt]{classBM__coll__graph}
22\end{center}
23\end{figure}
24\subsection*{Public Member Functions}
25\begin{CompactItemize}
26\item 
27\hypertarget{classBM_43d2ad6a6c9f1bcd22fe8906c477e50e}{
28\hyperlink{classBM_43d2ad6a6c9f1bcd22fe8906c477e50e}{BM} (const \hyperlink{classRV}{RV} \&rv0, double ll0=0, bool evalll0=true)}
29\label{classBM_43d2ad6a6c9f1bcd22fe8906c477e50e}
30
31\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
32\hypertarget{classBM_e8fc5fae042f2b46d4d3827f9587d47d}{
33\hyperlink{classBM_e8fc5fae042f2b46d4d3827f9587d47d}{BM} (const \hyperlink{classBM}{BM} \&B)}
34\label{classBM_e8fc5fae042f2b46d4d3827f9587d47d}
35
36\begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item 
37virtual void \hyperlink{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}{bayes} (const vec \&dt)=0
38\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
39\hypertarget{classBM_0186270f75189677f390fe088a9947e9}{
40virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)}
41\label{classBM_0186270f75189677f390fe088a9947e9}
42
43\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
44\hypertarget{classBM_8554809fec160bee279bcd5fa14ead5c}{
45virtual const \hyperlink{classepdf}{epdf} \& \hyperlink{classBM_8554809fec160bee279bcd5fa14ead5c}{\_\-epdf} () const =0}
46\label{classBM_8554809fec160bee279bcd5fa14ead5c}
47
48\begin{CompactList}\small\item\em Returns a reference to the \hyperlink{classepdf}{epdf} representing posterior density on parameters. \item\end{CompactList}\item 
49\hypertarget{classBM_db500c4836f883c175a3cf3ab5a3ce24}{
50virtual const \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classBM_db500c4836f883c175a3cf3ab5a3ce24}{\_\-e} () const =0}
51\label{classBM_db500c4836f883c175a3cf3ab5a3ce24}
52
53\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 
54virtual double \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{logpred} (const vec \&dt) const
55\item 
56\hypertarget{classBM_cd0660f2a1a344b56ac39802708ff165}{
57vec \hyperlink{classBM_cd0660f2a1a344b56ac39802708ff165}{logpred\_\-m} (const mat \&dt) const }
58\label{classBM_cd0660f2a1a344b56ac39802708ff165}
59
60\begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item 
61\hypertarget{classBM_5594d68ee9aa6fc8c1e79019da5c9d56}{
62virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classBM_5594d68ee9aa6fc8c1e79019da5c9d56}{predictor} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}) const }
63\label{classBM_5594d68ee9aa6fc8c1e79019da5c9d56}
64
65\begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item 
66\hypertarget{classBM_ca0f02b3b4144e0895cc14f7e0374bdd}{
67virtual \hyperlink{classBM_ca0f02b3b4144e0895cc14f7e0374bdd}{$\sim$BM} ()}
68\label{classBM_ca0f02b3b4144e0895cc14f7e0374bdd}
69
70\begin{CompactList}\small\item\em Destructor for future use;. \item\end{CompactList}\item 
71\hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{
72const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const }
73\label{classBM_126bd2595c48e311fc2a7ab72876092a}
74
75\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
76\hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{
77double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const }
78\label{classBM_87f4a547d2c29180be88175e5eab9c88}
79
80\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
81\hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{
82void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)}
83\label{classBM_1ffa9f23669aabecc3760c06c6987522}
84
85\begin{CompactList}\small\item\em access function \item\end{CompactList}\item 
86virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false)
87\end{CompactItemize}
88\subsection*{Protected Attributes}
89\begin{CompactItemize}
90\item 
91\hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{
92\hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}}
93\label{classBM_af00f0612fabe66241dd507188cdbf88}
94
95\begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item 
96\hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{
97double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}}
98\label{classBM_5623fef6572a08c2b53b8c87b82dc979}
99
100\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
101\hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{
102bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{evalll}}
103\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}
104
105\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}
106
107
108\subsection{Detailed Description}
109Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.
110
111
112
113\subsection{Member Function Documentation}
114\hypertarget{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}{
115\index{BM@{BM}!bayes@{bayes}}
116\index{bayes@{bayes}!BM@{BM}}
117\subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  \mbox{[}pure virtual\mbox{]}}}}
118\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}
119
120
121Incremental Bayes rule.
122
123\begin{Desc}
124\item[Parameters:]
125\begin{description}
126\item[{\em dt}]vector of input data \end{description}
127\end{Desc}
128
129
130Implemented in \hyperlink{classARX_ba82c956ca893826811aefe1e4af465d}{ARX}, \hyperlink{classKalman_7750ffd73f261828a32c18aaeb65c75c}{Kalman$<$ sq\_\-T $>$}, \hyperlink{classKalmanCh_cca758192846940409822b9bd778d4e1}{KalmanCh}, \hyperlink{classEKFfull_8ca46f177e395fa714bbd8bd29ea43e0}{EKFfull}, \hyperlink{classEKF_c79c62c9b3e0b56b3aaa1b6f1d9a7af7}{EKF$<$ sq\_\-T $>$}, \hyperlink{classEKFCh_96f6edda324a0b7ef8b4e86cc7af60c1}{EKFCh}, \hyperlink{classPF_64f636bbd63bea9efd778214e6b631d3}{PF}, \hyperlink{classMPF_55daf8e4b6553dd9f47c692de7931623}{MPF$<$ BM\_\-T $>$}, \hyperlink{classMixEF_d520fb534aa43f3084ff1568ffe7573d}{MixEF}, \hyperlink{classBMEF_52b7719312d545215cca1ff87722a35a}{BMEF}, \hyperlink{classmultiBM_11eeba7e97954e316e959116f90d80e2}{multiBM}, \hyperlink{classEKFfixed_ddf5334bc1207658fd53698fffbac028}{EKFfixed}, \hyperlink{classKalman_7750ffd73f261828a32c18aaeb65c75c}{Kalman$<$ ldmat $>$}, \hyperlink{classKalman_7750ffd73f261828a32c18aaeb65c75c}{Kalman$<$ chmat $>$}, and \hyperlink{classKalman_7750ffd73f261828a32c18aaeb65c75c}{Kalman$<$ fsqmat $>$}.
131
132Referenced by bayesB().\hypertarget{classBM_8a8ce6df431689964c41cc6c849cfd06}{
133\index{BM@{BM}!logpred@{logpred}}
134\index{logpred@{logpred}!BM@{BM}}
135\subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt  \mbox{[}inline, virtual\mbox{]}}}}
136\label{classBM_8a8ce6df431689964c41cc6c849cfd06}
137
138
139Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out.
140
141Reimplemented in \hyperlink{classARX_e7f9e7823aec9bf7ddc3b42d9b3304c4}{ARX}, \hyperlink{classMixEF_424ca64f36d4e41de7a7e7ae921d35ea}{MixEF}, and \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{multiBM}.
142
143Referenced by logpred\_\-m().\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{
144\index{BM@{BM}!\_\-copy\_\-@{\_\-copy\_\-}}
145\index{\_\-copy\_\-@{\_\-copy\_\-}!BM@{BM}}
146\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\mbox{]}}}}
147\label{classBM_eb58c81d6a7b75b05fc6f276eed78887}
148
149
150Copy 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; \} 
151
152Reimplemented in \hyperlink{classARX_5de61fbd4f97fa3216760b1f733f5af0}{ARX}, and \hyperlink{classBMEF_97f5312efe4a5bedb86d2daec59d8651}{BMEF}.
153
154The documentation for this class was generated from the following files:\begin{CompactItemize}
155\item 
156work/git/mixpp/bdm/stat/\hyperlink{libBM_8h}{libBM.h}\item 
157work/git/mixpp/bdm/stat/libBM.cpp\end{CompactItemize}
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