work/mixpp/bdm/stat/libBM.h File Reference

Bayesian Models (bm) that use Bayes rule to learn from observations. More...

#include <itpp/itbase.h>

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Classes

class  RV
 Class representing variables, most often random variables. More...
class  fnc
 Class representing function $f(x)$ of variable $x$ represented by rv. More...
class  epdf
 Probability density function with numerical statistics, e.g. posterior density. More...
class  mpdf
 Conditional probability density, e.g. modeling some dependencies. More...
class  DS
 Abstract class for discrete-time sources of data. More...
class  BM
 Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. More...
class  BMcond
 Conditional Bayesian Filter. More...


Detailed Description

Bayesian Models (bm) that use Bayes rule to learn from observations.

Author:
Vaclav Smidl.
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations -----------------------------------


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