Sentence examples for mixture models are from inspiring English sources

Mixture models are important modeling approaches that account for data heterogeneity.

Moreover, mixture models are an interesting and flexible model family.

So, mixture models are great, but they have a number of limitations.

However, existing mixture models are constrained by assuming an known number of sub-populations.

Different issues related to the numerical estimation of mixture models are also discussed.

The parameters of finite mixture models are estimated by the GA-based parameter estimation method.

Most of the existing mixture models are unable to accommodate these two aspects of the data.

Optimum designs for the estimation of parameters of different mixture models are available in the literature.

Then, a set of Gaussian mixture models are used to capture the underlying cluster structures of the datasets.

I think in the interest of time, I'm going to skip this is just explaining where this comes from, and where why these mixture models are sometimes called Dirichlet process mixture models.

Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population.