Sentence examples similar to variable model such from inspiring English sources

His work has produced the first computationally efficient algorithms for several statistical estimation tasks (including many involving latent variable models such as mixture models, hidden Markov models, and topic models), provided new algorithmic frameworks for solving interactive machine learning problems, and led to the creation of scalable tools for machine learning applications.

The prior reports performed the variable models such as genome-wide association studies (GWAS), replication, case-control, cross-sectional and meta-analysis studies and still, we lack diagnostic marker in the global world.

The SSM which characterizes the a priori knowledge of the training speakers is effectively described in terms of the latent variable models such as the factor analysis or probabilistic principal component analysis.

The limited dependent variable models, such as the Tobit model, are characterized by a dependent continuous variable which is observable only on a certain interval.

In recent years, scientists have researched several typical variable models such as Snake Model.

Inference in latent variable models such as these can be carried out by maximum likelihood (ML) or Bayesian parameter estimation.

Furthermore, different statistical test procedures were developed to examine MI, some of which are based on observable variables, while others are based on latent variable models such as item response theory (IRT) or the common factor model [ 8, 9].

Because in latent variable models, such as PLS, there is no direct relationship between predictor and target variables, the calculation of reliable confidence intervals for the regression coefficients is not straightforward, limiting their interpretability.

Recent developments in analytic techniques have been critical to this work: in particular, latent variable modelling such as longitudinal latent class analysis (LLCA) or growth mixture modelling which allows for several classes (or subpopulations) within a population, each of which has its own trajectory (Chen and Kandel, 1995; Agrawal et al., 2007; Patton et al., 2007).

For instance, one could take as null hypothesis a binomial distribution with sampling probability P(Bi|M = 1) = NBj/NM = 1, where M here is a binary variable associated with the fact that a niche-variable model, such as GARP or MaxEnt, says whether the species Bi is present or absent.

In addition, the refinement of the two-variable model, such as the accuracy of the probability function, would also be very interesting.