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

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

- work/git/mixpp/bdm/stat/libBM.h