\section{TrivialPF Class Reference}
\label{classTrivialPF}\index{TrivialPF@{TrivialPF}}
Trivial particle filter with proposal density that is not conditioned on the data.  


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

Inheritance diagram for TrivialPF:\nopagebreak
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Collaboration diagram for TrivialPF:\nopagebreak
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
\textbf{TrivialPF} ({\bf mpdf} \&par, {\bf mpdf} \&obs, {\bf mpdf} \&prop, int n0)\label{classTrivialPF_e6d9e3506da221a10a517bd5712b5a84}

\item 
\textbf{TrivialPF} ({\bf mpdf} \&par, {\bf mpdf} \&obs, int n0)\label{classTrivialPF_59fc4c55a2d5fbb6bc9a17a9dd9a2e13}

\item 
void {\bf bayes} (const vec \&dt, bool evalll)
\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Trivial particle filter with proposal density that is not conditioned on the data. 

\subsection{Member Function Documentation}
\index{TrivialPF@{TrivialPF}!bayes@{bayes}}
\index{bayes@{bayes}!TrivialPF@{TrivialPF}}
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}void TrivialPF::bayes (const vec \& {\em dt}, bool {\em evall})\hspace{0.3cm}{\tt  [virtual]}}\label{classTrivialPF_77a92bf054d763f806d27fc37a058389}


Incremental Bayes rule. 

\begin{Desc}
\item[Parameters:]
\begin{description}
\item[{\em dt}]vector of input data \item[{\em evall}]If true, the filter will compute likelihood of the data record and store it in {\tt ll} \end{description}
\end{Desc}


Reimplemented from {\bf PF} \doxyref{}{p.}{classPF_eb06bd7d4325f22f54233967295793b9}.

The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
work/mixpp/bdm/estim/{\bf libPF.h}\item 
work/mixpp/bdm/estim/libPF.cpp\end{CompactItemize}
