kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc > Class Template Reference

A conditional distribution. More...

#include <prob_conditional_distribution.h>

Public Types
typedef Distribution_traits < TargetVariable >::type	target_type
typedef Distribution_traits < GivenVariable >::type	given_type

Public Member Functions
	Conditional_distribution (DependenceFunc f)
	Conditional_distribution (const Conditional_distribution &cd)
Conditional_distribution &	operator= (const Conditional_distribution &cd)
TargetVariable	get_distribution (const given_type &y) const
	Gets the distribution when we fix the given variable; i.e., it applies the dependence function to y. More...

Detailed Description

template<class TargetVariable, class GivenVariable, class DependenceFunc>
class kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >

A conditional distribution.

This class implements a general conditional distribution / random variable concept. Let p(x | y) be a conditional distribution, with x and y random variables. This class represents both p(x | y) and x | y. To use this class, we need to know the domain of x, the domain of y and how x depends on y.

Template Parameters

TargetVariable	The target random variable type; must comply with the KJB's Distribution concept.
GivenVariable	The given random variable type; must comply with the KJB's Distribution concept.
DependenceFunc	This says how the target depends on the given. Must be applicable (operator()-wise) to a (GivenVariable, type(GivenVariable)) pair.

Member Typedef Documentation

template<class TargetVariable, class GivenVariable, class DependenceFunc>

typedef Distribution_traits<GivenVariable>::type kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::given_type

template<class TargetVariable, class GivenVariable, class DependenceFunc>

typedef Distribution_traits<TargetVariable>::type kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::target_type

Constructor & Destructor Documentation

template<class TargetVariable, class GivenVariable, class DependenceFunc>

kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::Conditional_distribution ( DependenceFunc  f )

inline

template<class TargetVariable, class GivenVariable, class DependenceFunc>

kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::Conditional_distribution ( const Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc > &  cd )

inline

Member Function Documentation

template<class TargetVariable, class GivenVariable, class DependenceFunc>

TargetVariable kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::get_distribution ( const given_type &  y ) const

inline

Gets the distribution when we fix the given variable; i.e., it applies the dependence function to y.

template<class TargetVariable, class GivenVariable, class DependenceFunc>

Conditional_distribution& kjb::Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc >::operator= ( const Conditional_distribution< TargetVariable, GivenVariable, DependenceFunc > &  cd )

inline

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

• /work/kobus/src/lib/prob_cpp/prob_conditional_distribution.h