Sentence examples for mixture of exponential from inspiring English sources

This representation of the Pareto (II) distribution as a gamma mixture of exponential distributions is often encountered in reliability and survival contexts, see e.g., Keiding et al. (2002).

In the first step the blur is estimated from the blurred photograph by regularizing the image gradients with a mixture of Gaussian distributions and by regularizing the blur with a mixture of exponential distributions.

Examination of wavelet coefficients variance for real fMRI data, however, points to the need to consider heavy-tailed distributions, so that a more general approach is currently being developed to estimate wavelet domain noise variance from a finite mixture of exponential distributions that could then be used to quantify the level of data sparsity.

This analysis is appropriate whether one can prove that power-law is not generated by a mixture of exponential distribution.

For both solitary (π = 0.90, c.i. 0.79 0.97) and social (π = 0.99, c.i. 0.98 0.99) foragers we reject the presence of a mixture of exponential distributions.

The best significant fit was found with a mixture of exponential decay of small-scale duplications with a death rate of 1.892 and two normal distributions with median Ks values of 0.185 and 1.650 respectively, which were attributable to two putative episodes of whole-genome duplication.

A second important representation of the Pareto (II) distribution, known to Maguire et al. (1952), is as a mixture of exponentials.

In addition, we present jMEF, an open source JavaTM library allowing users to create, process and manage mixtures of exponential families.

Furthermore it is proved that the inverse inequality holds for the family of completely monotone distributions, which includes all finite mixtures of exponential distributions.

Variational Bayes learning or mean field approximation is widely used in statistical models which are made of mixtures of exponential distributions, for example, normal mixtures, binomial mixtures, and hidden Markov models.

In this paper, we present three generic clustering algorithms working on arbitrary mixtures of exponential families: the Bregman soft clustering, the Bregman hard clustering, and the Bregman hierarchical clustering.