BM Class Reference

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

#include <libBM.h>

Inheritance diagram for BM:

[legend]

Collaboration diagram for BM:

[legend]

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, EKF< sq_T >, PF, MPF< BM_T >, Kalman< ldmat >, and EKF< ldmat >.

---

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

• work/mixpp/bdm/stat/libBM.h

---