BM Class Reference

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

#include <libBM.h>

Inheritance diagram for BM:

Kalman< sq_T > KalmanFull PF TrivialPF

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.


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,
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 >, and TrivialPF.


The documentation for this class was generated from the following file:
Generated on Wed Jan 23 11:30:11 2008 for mixpp by  doxygen 1.5.3