Sentence examples for by using latent variables from inspiring English sources

Exact(4)

The EM algorithm implicitly enlarges the data size by using latent variables for the mixture probability, referred to as data augmentation [45].

The utility of these data can be maximized by using latent variables to infer novel signaling paths that contain proteins not been measured.

One of the novelties of our methodology is that such quantities were estimated by using latent variables, adjusting for the measurement error contained in the diagnostic tests studied.

This objective was accomplished by using latent variables capturing two constructs of SEP in a mediation analysis which allowed an assessment of their relative importance as drivers of any inequalities identified.

Similar(56)

This is a form of SEM, which utilises a process similar to estimation by regression, but using latent variables constructed from those items for which responses are available.

Using latent variables allows researchers to assess psychometric properties in order to interpret such variables.

In a path diagram, a box represents a variable, a straight, single-headed arrow represents a regression path, and a curved arrow represents a correlation or covariance (in addition, an ellipse represents a latent, or unobserved variable; the methods described in this paper do not use latent variables, however the interested reader is directed towards a recent chapter by Bollen [ 3]).

By using latent random effects variables for each participant multi level multivariable analysis permits estimation of changes in repeated measures, even when not all post assessment data are available due to missing data.

Dimension reduction is carried out by adapting in time commonly used latent variable techniques for a given relevance function, as evaluation measure of time-variant transformation.

For example, a British study by Wood and de Menezes (1998) that uses latent variable analysis to search for identifiable patterns in the use of 23 high-performance practices, and is able to identify a progression of what it calls high-commitment management (high HCM, medium-low HCM, low-medium HCM, and low HCM), reaches rather sobering conclusions.

By using the latent variables, we design time-frequency masks which reduce the nontarget sources and enhance the target source.

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