# bdm::BMEF Class Reference

`#include <libEF.h>`

Inheritance diagram for bdm::BMEF:

[legend]

List of all members.

## Detailed Description

Estimator for Exponential family.

## Public Member Functions
| BMEF (double frg0=1.0)
| Default constructor (=empty constructor).
| BMEF (const BMEF &B)
| Copy constructor.
virtual void | set_statistics (const BMEF *BM0)
| get statistics from another model
virtual void | bayes (const vec &data, const double w)
| Weighted update of sufficient statistics (Bayes rule).
void | bayes (const vec &dt)
| Incremental Bayes rule.
virtual void | flatten (const BMEF *B)
| Flatten the posterior according to the given BMEF (of the same type!).
BMEF * | _copy_ (bool changerv=false)
| Flatten the posterior as if to keep nu0 data.
Constructors
virtual BM * | _copy_ ()
Mathematical operations
virtual void | bayesB (const mat &Dt)
| Batch Bayes rule (columns of Dt are observations).
virtual double | logpred (const vec &dt) const
vec | logpred_m (const mat &dt) const
| Matrix version of logpred.
virtual epdf * | epredictor () const
| Constructs a predictive density .
virtual mpdf * | predictor () const
| Constructs a conditional density 1-step ahead predictor.
Access to attributes
const RV & | _drv () const
void | set_drv (const RV &rv)
double | _ll () const
void | set_evalll (bool evl0)
virtual const epdf & | _epdf () const =0
virtual const epdf * | _e () const =0
## Protected Attributes
double | frg
| forgetting factor
double | last_lognc
| cached value of lognc() in the previous step (used in evaluation of `ll` )
RV | drv
| Random variable of the data (optional).
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 computational time.

## Member Function Documentation

void bdm::BMEF::bayes | ( | const vec & | dt | ) | `[virtual]`

Incremental Bayes rule.

Parameters:

  | dt | vector of input data

Implements bdm::BM.

Reimplemented in bdm::ARX, bdm::MixEF, and bdm::multiBM.

References bayes().

virtual BM* bdm::BM::_copy_ | ( |  | ) | `[inline, virtual, inherited]`

Copy function required in vectors, Arrays of BM etc. Have to be DELETED manually! Prototype:

     BM* _copy_(){return new BM(*this);}

Reimplemented in bdm::ARX.

virtual double bdm::BM::logpred | ( | const vec & | dt | ) | const`[inline, virtual, inherited]`

Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out.

Reimplemented in bdm::ARX, bdm::MixEF, and bdm::multiBM.

Referenced by bdm::BM::logpred_m().

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

- libEF.h
- libEF.cpp