PseudoLikDiscrete Class Reference

Discrete approximation of the log-pseudolikelihood of a Gibbsian T-tessellation. More...

#include <ttessel.h>

Inheritance diagram for PseudoLikDiscrete:

Public Member Functions
	PseudoLikDiscrete (Energy *)
	Constructor initializing the model to be considered. More...
Energy *	GetEnergy ()
	Get the Energy data member.
void	SetEnergy (Energy *e)
	Set the Energy data member.
void	AddSplits (Size)
	Increment the sample of dummy splits. More...
void	AddGivenSplit (TTessel::Split)
	Add a given dummy split. More...
std::vector< CatVector >	GetSplitStatistics ()
	Return the split term of the discrete approximation of the log-pseudolikelihood.
std::vector< CatVector >	GetFlipStatistics ()
	Return the flip term of the discrete approximation of the log-pseudolikelihood.
void	ClearSplits ()
	Remove all dummy splits.
double	GetValue (CatVector)
	Return log-pseudo-likelihood value. More...
CatVector	GetGradient (CatVector)
	Return pseudo-likelihood gradient. More...
CatMatrix	GetHessian (CatVector)
	Return the Hessian of the log-pseudolikelihood.

Friends
std::ostream &	operator<< (std::ostream &, const PseudoLikDiscrete &)
	Send T-tessellation pseudolikelihood data to an output stream. More...

Detailed Description

Discrete approximation of the log-pseudolikelihood of a Gibbsian T-tessellation.

The Gibbs model to be considered is stored in a private data member as an Energy object. The pseudolikelihood involves an integral over the space of splits that can be applied to the observed T-tessellation. The discrete approximation consists in replacing the integral by a discrete sum computed on a sample of dummy splits. Dummy splits are drawn independently and uniformly.

Constructor & Destructor Documentation

PseudoLikDiscrete::PseudoLikDiscrete

(

Energy *

e

)

Constructor initializing the model to be considered.

Some components of the discrete approximation of the pseudolikelihood related to merges and flips are precomputed.

Member Function Documentation

void PseudoLikDiscrete::AddGivenSplit

(

TTessel::Split

s

)

Add a given dummy split.

Note

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void PseudoLikDiscrete::AddSplits

(

Size

n

)

Increment the sample of dummy splits.

Parameters

n	: the number of dummy splits to be added.

Terms of the approximation of the pseudolikelihood related to splits are updated.

CatVector PseudoLikDiscrete::GetGradient

(

CatVector

theta

)

Return pseudo-likelihood gradient.

Parameters

theta

: parameter where the gradient of the log-pseudolikelihood has to be computed.

Returns

the value of the gradient of the discrete approximation of the log-pseudolikelihood

double PseudoLikDiscrete::GetValue

(

CatVector

theta

)

Return log-pseudo-likelihood value.

Parameters

theta

: parameter for which the likelihood is computed.

Returns

the value of the discrete approximation of the log-pseudolikelihood.

Friends And Related Function Documentation

std::ostream& operator<< ( std::ostream &  os, const PseudoLikDiscrete &  pld  )

friend

Send T-tessellation pseudolikelihood data to an output stream.

Parameters

os	: output stream
pld	: the pseudolikelihood of a T-tessellation

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

• /home/kien/labo/lite/include/ttessel.h
• /home/kien/labo/lite/lib/ttessel.cpp