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# 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 -----------------------------------