0-mean prior methods

Collaboration diagram for 0-mean prior methods:

Functions
virtual void	MVnorm::update (const Grp &, const SigmaI &, const SigmaI &, const gsl_rng *)=0
	Gaussian likelihood, Gaussian prior. More...
virtual void	MVnorm::update (const Grp &, const SigmaI &, const double &, const SigmaI &, const gsl_rng *)=0
	Gaussian likelihood, Student- \(t\) prior. More...
virtual void	MVnorm::update (const Grp &, const Qgrp &, const SigmaI &, const SigmaI &, const gsl_rng *)=0
	Student- \(t\) likelihood, Gaussian prior. More...
virtual void	MVnorm::update (const Grp &, const Qgrp &, const SigmaI &, const double &, const SigmaI &, const gsl_rng *)=0
	Student- \(t\) likelihood, Student- \(t\) prior. More...
virtual void	Grp::update (const Grp &, const SigmaI &, const SigmaI &)=0
	Gaussian likelihood, 0-mean Gaussian prior. More...
virtual void	Grp::update (const Grp &, const Qgrp &, const SigmaI &, const SigmaI &)=0
	Student- \(t\) likelihood, 0-mean Gaussian prior. More...
virtual void	Grp::update (const Grp &, const SigmaI &, const Qgrp &, const SigmaI &)=0
	Gaussian likelihood, 0-mean Student- \(t\) prior. More...
virtual void	Grp::update (const Grp &, const Qgrp &, const SigmaI &, const Qgrp &, const SigmaI &)=0
	Student- \(t\) likelihood, 0-mean Student- \(t\) prior. More...

Detailed Description

Function Documentation

update() [1/8]

virtual void MVnorm::update ( const Grp &  , const Qgrp &  , const SigmaI &  , const double &  , const SigmaI &  , const gsl_rng *    )

pure virtual

Student- \(t\) likelihood, Student- \(t\) prior.

Parameters

[in]	Grp&	data for the likelihood
[in]	Qgrp&	vector Student- \(t\) covariance scale parameter for the likelihood covariance
[in]	SigmaI&	inverse-covariance matrix for the likelihood
[in]	double&	Student- \(t\) scale parameter for the prior covariance
[in]	SigmaI&	prior inverse-covariance matrix
[in]	gsl_rng*	pointer to a PNG

Implemented in MVnormBetaFt, MVnormMuBlk, MVnormBetaPEX, MVnormMuPEX, MVnormMu, MVnormBetaFtBlk, MVnormBetaBlk, and MVnormBeta.

update() [2/8]

virtual void Grp::update ( const Grp &  , const Qgrp &  , const SigmaI &  , const Qgrp &  , const SigmaI &    )

pure virtual

Student- \(t\) likelihood, 0-mean Student- \(t\) prior.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for the data
[in]	SigmaI&	data inverse-covariance
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Implemented in MuBlk, BetaGrpPCpex, BetaGrpPEX, BetaGrpFt, MuGrpPEX, and MuGrp.

update() [3/8]

virtual void Grp::update ( const Grp &  , const Qgrp &  , const SigmaI &  , const SigmaI &    )

pure virtual

Student- \(t\) likelihood, 0-mean Gaussian prior.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for data
[in]	SigmaI&	data inverse-covariance
[in]	SigmaI&	prior inverse-covariance

Implemented in MuBlk, BetaGrpPCpex, BetaGrpPEX, BetaGrpFt, MuGrpPEX, and MuGrp.

update() [4/8]

virtual void MVnorm::update ( const Grp &  , const Qgrp &  , const SigmaI &  , const SigmaI &  , const gsl_rng *    )

pure virtual

Student- \(t\) likelihood, Gaussian prior.

Parameters

[in]	Grp&	data for the likelihood
[in]	Qgrp&	vector of Student- \(t\) covariance scale parameters for the likelihood covariance
[in]	SigmaI&	inverse-covariance matrix for the likelihood
[in]	SigmaI&	prior inverse-covariance matrix
[in]	gsl_rng*	pointer to a PNG

Implemented in MVnormBetaFt, MVnormMuBlk, MVnormBetaPEX, MVnormMuPEX, MVnormMu, MVnormBetaFtBlk, MVnormBetaBlk, and MVnormBeta.

update() [5/8]

virtual void MVnorm::update ( const Grp &  , const SigmaI &  , const double &  , const SigmaI &  , const gsl_rng *    )

pure virtual

Gaussian likelihood, Student- \(t\) prior.

Parameters

[in]	Grp&	data for the likelihood
[in]	SigmaI&	inverse-covariance matrix for the likelihood
[in]	double&	Student- \(t\) scale parameter for the prior covariance
[in]	SigmaI&	prior inverse-covariance matrix
[in]	gsl_rng*	pointer to a PNG

Implemented in MVnormBetaFt, MVnormMuBlk, MVnormBetaPEX, MVnormMuPEX, MVnormMu, MVnormBetaFtBlk, MVnormBetaBlk, and MVnormBeta.

update() [6/8]

virtual void Grp::update ( const Grp &  , const SigmaI &  , const Qgrp &  , const SigmaI &    )

pure virtual

Gaussian likelihood, 0-mean Student- \(t\) prior.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Implemented in MuBlk, BetaGrpPCpex, BetaGrpPEX, BetaGrpFt, MuGrpPEX, and MuGrp.

update() [7/8]

virtual void Grp::update ( const Grp &  , const SigmaI &  , const SigmaI &    )

pure virtual

Gaussian likelihood, 0-mean Gaussian prior.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	SigmaI&	prior inverse-covariance

Implemented in MuGrpMiss, MuBlk, BetaGrpPCpex, BetaGrpPEX, BetaGrpFt, MuGrpPEX, and MuGrp.

update() [8/8]

virtual void MVnorm::update ( const Grp &  , const SigmaI &  , const SigmaI &  , const gsl_rng *    )

pure virtual

Gaussian likelihood, Gaussian prior.

Parameters

[in]	Grp&	data for the likelihood
[in]	SigmaI&	inverse-covariance matrix for the likelihood
[in]	SigmaI&	prior inverse-covariance matrix
[in]	gsl_rng*	pointer to a PNG

Implemented in MVnormBetaFt, MVnormMuMiss, MVnormMuBlk, MVnormBetaPEX, MVnormMuPEX, MVnormMu, MVnormBetaFtBlk, MVnormBetaBlk, and MVnormBeta.