Sentence examples for mixture model proposed from inspiring English sources

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In this paper, we consider an additive quadratic mixture model, proposed by Darroch and Waller (1985), when the amount of mixture is taken into account, and obtain the A-optimal designs for the estimation of optimum proportions, adopting the approach of Pal and Mandal (2006).

The last model was the mixture model proposed in the previous section.

The probabilistic mixture model proposed here provides a new framework for subclonal analysis based on cancer genome sequencing data.

An underused approach for metabolite-by-metabolite analysis is the Bernoulli/lognormal mixture model proposed by Moulton and Halsey (1995).

The Gaussian Mixture Model proposed here is advantageous in situations with incomplete data, for weak phenotypes in a synthetic lethal screen and for characterizing synthetic lethal interactions.

Olsen and Schafer [ 16] and Tooze et al [ 17] extended the two-part logit- lognormal mixture model, proposed by Duan et al. [ 11] for cross-sectional data, to repeated measures data by including two subject specific random effects in the logit and log-normal components respectively.

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One way to overcome this limitation is to use more accurate observation models for such scenes of PolSAR image, for example, the mixture models proposed by [26].

To model birth death rate heterogeneity across microsatellite loci, we used a simplified version of one of the mixture models proposed by Cohen and Pupko (2010), which in turn are slight modifications of the standard phylogenetic gamma mixture model (Yang 1994).

The background model presented in [16] is very similar to the well-known mixture of Gaussians model proposed in [18].

For example, we found limited application of the non-homogeneous mixture Bayesian network model proposed by Grzegorczyk et al. [ 9], while the conventional homogeneous Bayesian network model has been widely used for applications of varying sizes, from about one hundred [ 13] to almost one thousand genes [ 14, 15].

A statistical multiscale fragile watermarking approach based on a Gaussian mixture model was proposed in [6].

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