mgamma Class Reference

Gamma random walk. More...

#include <libEF.h>

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List of all members.

Public Member Functions

 mgamma (const RV &rv, const RV &rvc)
 Constructor.
void set_parameters (double k)
 Set value of k.
vec samplecond (vec &cond, double &lik)
 Generate one sample of the posterior.
mat samplecond (vec &cond, vec &lik, int n)
 Generate matrix of samples of the posterior.
void condition (const vec &val)
 Update ep so that it represents this mpdf conditioned on rvc = cond.
virtual double evalcond (const vec &dt, const vec &cond)
 Shortcut for conditioning and evaluation of the internal epdf. In some cases, this operation can be implemented efficiently.
RV _rvc ()
 access function
epdf_epdf ()
 access function

Protected Attributes

egamma epdf
 Internal epdf that arise by conditioning on rvc.
double k
 Constant $k$.
vec * _beta
 cache of epdf.beta
RV rv
 modeled random variable
RV rvc
 random variable in condition
epdfep
 pointer to internal epdf


Detailed Description

Gamma random walk.

Mean value, $\mu$, of this density is given by rvc . Standard deviation of the random walk is proportional to one $k$-th the mean. This is achieved by setting $\alpha=k$ and $\beta=k/\mu$.

The standard deviation of the walk is then: $\mu/\sqrt(k)$.


The documentation for this class was generated from the following files:

Generated on Tue Apr 29 20:46:55 2008 for mixpp by  doxygen 1.5.5