Changeset 85 for bdm/stat/libEF.h

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Timestamp:
04/28/08 10:21:21 (16 years ago)
Author:
smidl
Message:

compilation and documantation fixes

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1 modified

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  • bdm/stat/libEF.h

    r77 r85  
    191191 \brief Normal distributed linear function with linear function of mean value; 
    192192 
    193  Mean value $mu=A*rvc$. 
     193 Mean value \f$mu=A*rvc\f$. 
    194194*/ 
    195195template<class sq_T> 
     
    197197        //! Internal epdf that arise by conditioning on \c rvc 
    198198        enorm<sq_T> epdf; 
     199        mat A; 
    199200        vec& _mu; //cached epdf.mu; 
    200         mat A; 
    201201public: 
    202202        //! Constructor 
     
    216216 
    217217Mean value, \f$\mu\f$, of this density is given by \c rvc . 
    218 Standard deviation of the random walk is proportional to one $k$-th the mean. 
     218Standard deviation of the random walk is proportional to one \f$k\f$-th the mean. 
    219219This is achieved by setting \f$\alpha=k\f$ and \f$\beta=k/\mu\f$. 
    220220 
     
    225225        //! Internal epdf that arise by conditioning on \c rvc 
    226226        egamma epdf; 
    227         //! Constant $k$ 
     227        //! Constant \f$k\f$ 
    228228        double k; 
    229229        //! cache of epdf.beta 
     
    245245\brief  Gamma random walk around a fixed point 
    246246 
    247 Mean value, \f$\mu\f$, of this density is given by a geometric combination of \c rvc and given fixed point, $p$. $k$ is the coefficient of the geometric combimation 
     247Mean value, \f$\mu\f$, of this density is given by a geometric combination of \c rvc and given fixed point, \f$p\f$. \f$l\f$ is the coefficient of the geometric combimation 
    248248\f[ \mu = \mu_{t-1} ^{l} p^{1-l}\f] 
    249249 
    250 Standard deviation of the random walk is proportional to one $k$-th the mean. 
     250Standard deviation of the random walk is proportional to one \f$k\f$-th the mean. 
    251251This is achieved by setting \f$\alpha=k\f$ and \f$\beta=k/\mu\f$. 
    252252 
     
    280280        //! Number of particles 
    281281        int n; 
    282         //! Sample weights $w$ 
     282        //! Sample weights \f$w\f$ 
    283283        vec w; 
    284284        //! Samples \f$x^{(i)}, i=1..n\f$