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10/15/08 19:11:17 (16 years ago)
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smidl
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Regenerated doc

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  • doc/latex/classMixEF.tex

    r180 r181  
    5454 
    5555\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  
     56\hypertarget{classMixEF_a93379cf31bb25961ea7f8d3f095513d}{ 
     57\hyperlink{classemix}{emix} $\ast$ \hyperlink{classMixEF_a93379cf31bb25961ea7f8d3f095513d}{predictor} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv})} 
     58\label{classMixEF_a93379cf31bb25961ea7f8d3f095513d} 
     59 
     60\begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item  
     61\hypertarget{classMixEF_fdbd5f58778c1ecb68b71945cdff0483}{ 
     62void \hyperlink{classMixEF_fdbd5f58778c1ecb68b71945cdff0483}{flatten} (double sumw=1.0)} 
     63\label{classMixEF_fdbd5f58778c1ecb68b71945cdff0483} 
     64 
     65\begin{CompactList}\small\item\em Flatten the density as if it was not estimated from the data. \item\end{CompactList}\item  
    5666\hypertarget{classBM_cd0660f2a1a344b56ac39802708ff165}{ 
    5767vec \hyperlink{classBM_cd0660f2a1a344b56ac39802708ff165}{logpred\_\-m} (const mat \&dt) const } 
    … …  
    5969 
    6070\begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item  
    61 \hypertarget{classBM_a627c5a79cc6f5221b7e09675525e032}{ 
    62 virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classBM_a627c5a79cc6f5221b7e09675525e032}{predictor} (const \hyperlink{classRV}{RV} \&\hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv})} 
    63 \label{classBM_a627c5a79cc6f5221b7e09675525e032} 
    64  
    65 \begin{CompactList}\small\item\em Constructs a predictive density (marginal density on data). \item\end{CompactList}\item  
    6671\hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{ 
    6772const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const } 
    … …  
    136141The characteristic feature of this model is that if the exact values of the latent variable were known, estimation of the parameters can be handled by a single model. For example, for the case of mixture models, posterior density for each component parameters would be a BayesianModel from Exponential Family. 
    137142 
    138 This class uses EM-style type algorithms for estimation of its parameters. Under this simplification, the posterior density is a product of exponential family members, hence approximate estimation project this class itself belongs to the exponential family. 
     143This class uses EM-style type algorithms for estimation of its parameters. Under this simplification, the posterior density is a product of exponential family members, hence under EM-style approximate estimation this class itself belongs to the exponential family. 
    139144 
    140145TODO: Extend \hyperlink{classBM}{BM} to use rvc.  
    … …  
    170175References multiBM::\_\-epdf(), Coms, epdf::mean(), n, and weights. 
    171176 
    172 Referenced by merger::merge().\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ 
     177Referenced by merger::evalpdflog(), and merger::merge().\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ 
    173178\index{MixEF@{MixEF}!\_\-copy\_\-@{\_\-copy\_\-}} 
    174179\index{\_\-copy\_\-@{\_\-copy\_\-}!MixEF@{MixEF}}