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This paper presents a finite mixture model that involves a pair-copula based construction of a multivariate distribution.
Phase change and subgrid-scale interface structures are modeled by a homogeneous mixture model that assumes local thermodynamic equilibrium.
We show that this numerical phenomenon is due to the mixture model that overestimates the reaction temperature.
It may be helpful to explicitly model these poses in a mixture model that represents the onset and ending, as well as the epitome as separate model components.
It was desired to develop a mixture model that would predict the diazepam in any mixture of solvents in a three-dimensional simplex.
The DPMM thus provides a nonparametric prior for the parameters of a mixture model that allows the number of mixture components to increase as the training set increases, as shown in Fig. 6.
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In this article, multigroup extensions of three existing mixture models that assess PD are compared.
This contrasts with traditional mixture models that represent only the relationship between raw material fractions and final blend product properties.
The clean speech files are also used to build the clean speech Gaussian mixture models that were used in the experiments.
I have presented nine alternative mixture models that may be of interest for making inference from available economic panel data sets.
There are mixture models that examine whether covariates are associated with CNP category membership [51], [52].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com