bdm::mpdf Class Reference

Conditional probability density, e.g. modeling $ f( x | y) $, where $ x $ is random variable, rv, and $ y $ is conditioning variable, rvc. More...

#include <bdmbase.h>

List of all members.

Public Member Functions

void from_setting (const Setting &set)
 Load from structure with elements:.
virtual string to_string ()
 This method returns a basic info about the current instance.
virtual void to_setting (Setting &set) const
 This method save all the instance properties into the Setting structure.
virtual void validate ()
 This method TODO.
Constructors



 mpdf ()
 mpdf (const mpdf &m)
Matematical operations



virtual vec samplecond (const vec &cond)
 Returns a sample from the density conditioned on cond, $x \sim epdf(rv|cond)$.
virtual mat samplecond_m (const vec &cond, int N)
 Returns.
virtual double evallogcond (const vec &dt, const vec &cond)
 Shortcut for conditioning and evaluation of the internal epdf. In some cases, this operation can be implemented efficiently.
virtual vec evallogcond_m (const mat &Dt, const vec &cond)
 Matrix version of evallogcond.
virtual vec evallogcond_m (const Array< vec > &Dt, const vec &cond)
 Array<vec> version of evallogcond.
Access to attributes



const RV_rv () const
const RV_rvc () const
int dimension () const
int dimensionc ()
Connection to other objects



void set_rvc (const RV &rvc0)
void set_rv (const RV &rv0)
bool isnamed ()

Protected Member Functions

void set_ep (epdf &iepdf)
 set internal pointer ep to point to given iepdf
void set_ep (epdf *iepdfp)
 set internal pointer ep to point to given iepdf

Protected Attributes

int dimc
 dimension of the condition
RV rvc
 random variable in condition

Detailed Description

Conditional probability density, e.g. modeling $ f( x | y) $, where $ x $ is random variable, rv, and $ y $ is conditioning variable, rvc.


Member Function Documentation

void bdm::mpdf::from_setting ( const Setting &  set  )  [virtual]

Load from structure with elements:.

         { class = "mpdf_offspring",
           rv = {class="RV", names=(...),}; // RV describing meaning of random variable
           rvc= {class="RV", names=(...),}; // RV describing meaning of random variable in condition
           // elements of offsprings
         }

Reimplemented from bdm::root.

Reimplemented in bdm::mepdf, bdm::mprod, bdm::mlnorm< sq_T, TEpdf >, bdm::mgnorm< sq_T >, bdm::mgamma, bdm::migamma_ref, bdm::mlognorm, bdm::mlnorm< ldmat, enorm >, and bdm::mlnorm< chmat >.

virtual vec bdm::mpdf::samplecond ( const vec &  cond  )  [inline, virtual]
mat bdm::mpdf::samplecond_m ( const vec &  cond,
int  N 
) [virtual]

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

Generated on Sun Sep 13 22:40:41 2009 for mixpp by  doxygen 1.6.1