\section{work/mixpp/bdm/estim/arx.h File Reference}
\label{estim_2arx_8h}\index{work/mixpp/bdm/estim/arx.h@{work/mixpp/bdm/estim/arx.h}}
Bayesian Filtering for generalized autoregressive (\doxyref{ARX}{p.}{classARX}) model. 

{\tt \#include $<$itpp/itbase.h$>$}\par
{\tt \#include \char`\"{}../stat/libFN.h\char`\"{}}\par
{\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par


Include dependency graph for arx.h:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=192pt]{estim_2arx_8h__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{CompactItemize}
\item 
class {\bf ARX}
\begin{CompactList}\small\item\em Linear Autoregressive model with Gaussian noise. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Bayesian Filtering for generalized autoregressive (\doxyref{ARX}{p.}{classARX}) model. 

\begin{Desc}
\item[Author:]Vaclav Smidl.\end{Desc}
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations ----------------------------------- 