newMppca: newMppca

In VBmix: Variational Bayesian Mixture Models

Description

creates an empty posterior MPPCA data structure.

Usage

newMppca()

Value

list object with the following members:

alpha	numeric vector for bayesian alpha parameter.
numoment	list of numeric vectors, containing E[nu_(kj)] parameters.
nub	list of numeric vectors, containing b_(kj) parameters for nu.
taumoment	numeric vector for tau parameter. NB: all set identically and statically to 1, as in [Bruneau 2011] a single static tau parameter is used.
taua	numeric vector for a_k parameters for tau.
taub	numeric vector for b_k parameters for tau.
wmean	list of matrices containing E[Lambda_k] parameters.
wsigma	list of matrices containing Cov(Lambda_k^(i.)).
xsigma	list of matrices containing Cov(x_k).
mumean	list of numeric vectors, containing means of the MPPCA model.
musigma	list of matrices with covariances for the mean estimates.
mustar	list of numeric vectors, containing prior means of the MPPCA model, used for initialisation.

Author(s)

Pierrick Bruneau

References

Bruneau, P., Gelgon, M. and Picarougne, F. (2010) _Aggregation of probabilistic PCA mixtures with a variational-Bayes technique over parameters_, ICPR'10.

Bruneau, P., Gelgon, M. and Picarougne, F. (2011) _Component-level aggregation of probabilistic PCA mixtures using variational-Bayes_, Tech Report, http://hal.archives-ouvertes.fr/docs/00/56/72/99/PDF/techrep.pdf.

See Also

mppca mmppca

Examples

temp <- newMppca()

VBmix documentation built on May 30, 2017, 2:34 a.m.