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	BM
	Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 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...

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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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