bdm::BM Class Reference

#include <libBM.h>

Inheritance diagram for bdm::BM:

Inheritance graph
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List of all members.


Detailed Description

Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.


Public Member Functions

Constructors
 BM ()
 BM (const BM &B)
virtual BM_copy_ ()
Mathematical operations
virtual void bayes (const vec &dt)=0
 Incremental Bayes rule.
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 epdfepredictor () const
 Constructs a predictive density $ f(d_{t+1} |d_{t}, \ldots d_{0}) $.
virtual mpdfpredictor () 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

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

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

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 void bdm::BM::bayes ( const vec &  dt  )  [pure virtual]

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

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 logpred_m().


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

Generated on Wed Feb 11 23:34:05 2009 for mixpp by  doxygen 1.5.6