… Over the years, a number of theoretical and simulation-based results have been published
… a finite mixture model. We very briefly consider here some of the theoretical results that have …

… some GMs are the convolution of a delta mixture with a Gaussian kernel) and statistical
smoothing (since Gaussian … exist functions upon which Gaussian blurring results in occasional, …

… MCLUST result is wrong in any sense and that there is any evidence for a Gaussian
mixture … I even presume that under some suitable conditions the best Gaussian mixture …

… Then the framework is applied to two problems, and numerical results are presented. The
results … In this chapter we reviewed some of the issues related to the GM approach and its …

… Gaussian mixtures with independent components, whose parameters are numerically estimated.
A decomposition of a Gaussian mixture is … Besides, in this study Gaussian mixtures with …

… widely used metric for Gaussian mixture reduction, since (unlike some that might be more …
and COWA algorithms could result in the reduced Gaussian mixture being invalid. We have …

… n for some δ > 0 in the case where the variances of the mixture components are bounded
below by a known constant. This result appears to depend strongly on the smoothness of the …

… The results demonstrate the superiority and usefulness of our proposed … with some artificial
datasets and real datasets to demonstrate that this algorithm is effective in Gaussian mixture …

… In the consecutive subsections, we shall describe our main results on Gaussian mixtures. …
using some relevant Gaussian mixture representations. Denote by H1 the hyperplane (1,0,...,0) …

… models result in a Gaussian mixture after some assumptions are made in order to obtain
tractable models (eg, Monte Carlo approximations to integrals, as in the generative topographic …