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]

List of all members.

Public Member Functions
virtual void	bayes (const vec &dt, bool evall=true)=0
	Incremental Bayes rule.
void	bayes (mat Dt)
	Batch Bayes rule (columns of Dt are observations).
Public Attributes
double	ll
	Logarithm of marginalized data likelihood.

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Detailed Description

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

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Member Function Documentation

virtual void BM::bayes	(	const vec &	dt,
		bool	evall = true
	)			[pure virtual]

Incremental Bayes rule.

Parameters:

	dt	vector of input data
	evall	If true, the filter will compute likelihood of the data record and store it in ll

Implemented in KalmanFull, Kalman< sq_T >, PF, and TrivialPF.

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

• work/mixpp/bdm/stat/libBM.h

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