Sentence examples for variable models in from inspiring English sources

Drawing on a sample of 409 5 13-year olds, we demonstrate the advantages of latent variable models in the area of transitive reasoning.

The study used primary data obtained via survey in rural communities in the State, and applied categorical dependent variable models in the form of logit and probit models.

Primary data were sourced via structured questionnaires and dichotomous dependent variable models in the form of probit and logit were used.

The advantage of latent variable models in comparison with the two-step-, correlation- or regression-based approaches is that they explicitly model both the signal and noise in the data, and take into account the uncertainty in the model by integrating over the unknown latent variables.

Probabilistic latent variable models, in particular mixture models (Jiang and Wong, 2009; Glaus et al., 2012; Katz et al., 2010; Li and Dewey, 2011; Li et al., 2010; Nariai et al., 2013; Trapnell et al., 2013; Turro et al., 2011) provide a popular and effective approach for inferring transcript expression levels from RNA-seq data.

Here, we repeat the analysis with the dummy variable model in (1) applied to each of the three subperiods.

Third, the latent variable model in this study had standardized solutions as well unstandardized ones, and a correlation metric is provided despite the input of a covariance matrix.

The derivations show that the latent variable model in Eqs.

We used a binary dependent variable model in order to force a choice.

The first involves solving a random quadratic system of equations, which spans many applications ranging from the century-old phase retrieval problem to various latent-variable models in machine learning.

From all rate-variable models in DDD, only those with a whole Calisto shift under diversity-dependent process are preferred with Akaike weights higher than 0.1.