๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Finite mixtures of matrix normal distributions for

โœ Scribed by Cinzia Viroli

Publisher
Springer US
Year
2010
Tongue
English
Weight
480 KB
Volume
21
Category
Article
ISSN
0960-3174

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Projection indices and multimodality for
Projection indices and multimodality for mixtures of normal distributions
โœ G. Eslava; F.H.C. Marriott ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 179 KB

Projection pursuit indices are intended to give 'interesting' one-or two-dimensional projections of data points in higher-dimensional spaces. This paper compares the performance of seven such indices. They are all minimum for a normal distribution, and are standardized to be zero for that case. They

On the Conditional Variance for Scale Mi
On the Conditional Variance for Scale Mixtures of Normal Distributions
โœ Stamatis Cambanis; Stergios B Fotopoulos; Lijian He ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 210 KB

For a scale mixture of normal vector, X=A 1ร‚2 G, where X, G # R n and A is a positive variable, independent of the normal vector G, we obtain that the conditional variance covariance, Cov(X 2 | X 1 ), is always finite a.s. for m 2, where X 1 # R n and m<n, and remains a.s. finite even for m=1, if an

A Comment on Maximum Likelihood Estimati
A Comment on Maximum Likelihood Estimation for Finite Mixtures of Distributions
โœ Dr. K. P. Burnham ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 273 KB ๐Ÿ‘ 1 views

Iterative numerical methods are necessary t o find the maximum likelihood estimates for finite mixture distributions. This paper shows that it will often be possible to analytitally reduce the number of equations that must ultimately be solved numerically. Such a reduction in dimensionality has not