BM Class Reference

Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. More...

#include <libBM.h>

Inheritance diagram for BM:

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Collaboration diagram for BM:

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List of all members.

Public Member Functions

 BM (const RV &rv0)
 Default constructor.
virtual void bayes (const vec &dt)=0
 Incremental Bayes rule.
void bayes (mat Dt)
 Batch Bayes rule (columns of Dt are observations).
virtual epdf_epdf ()=0
 Returns a pointer to the epdf representing posterior density on parameters. Use with care!
virtual ~BM ()
 Destructor for future use;.
const RV_rv () const
 access function
double _ll () const
 access function

Protected Attributes

RV rv
 Random variable of the posterior.
double ll
 Logarithm of marginalized data likelihood.
bool evalll
 If true, the filter will compute likelihood of the data record and store it in ll . Set to false if you want to save time.


Detailed Description

Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.

Member Function Documentation

virtual void BM::bayes ( const vec &  dt  )  [pure virtual]

Incremental Bayes rule.

Parameters:
dt vector of input data

Implemented in Kalman< sq_T >, KalmanCh, EKFfull, EKF< sq_T >, EKFCh, PF, MPF< BM_T >, ARX, EKFfixed, Kalman< ldmat >, Kalman< chmat >, and Kalman< fsqmat >.


The documentation for this class was generated from the following file:
Generated on Fri Apr 18 11:15:18 2008 for mixpp by  doxygen 1.5.3