Sentence examples for a method of inference from inspiring English sources

This hypothesis proposes a method of inference that differs substantially from the logistic regression equation.

NMA is a method of inference and as such is based on certain statistical assumptions that are generally more restrictive than the assumptions underlying PMA [ 2, 3].

Although hypothesis testing is still used as a method of inference, epidemiologists must also assess the validity, magnitude, and precision of observed associations rather than just the statistical significance of associations.

Because the focus of this article is to emphasize INLA as a method of inference for animal models, the models in the case studies and synthetic studies are kept simple.

Course Description: Bayesian inference is a method of statistical inference where prior beliefs for model parameters can be incorporated into an analysis and updated once data are observed.

While not a method of demographic inference, the projection's shape provides clues as to the direction of further model testing using formal demographic inference tools, such as dadi (Gutenkunst et al. 2009) or fastsimcoal2 (Excoffier et al. 2013).

Bayesian analysis, a method of statistical inference (named for English mathematician Thomas Bayes) that allows one to combine prior information about a population parameter with evidence from information contained in a sample to guide the statistical inference process.

Thus, while simulation studies are essential to identify conditions under which a method can fail to properly estimate a given parameter, we may not be able to entirely rely upon them to fully validate a method of historical inference.

We provide a brief introduction to regression discontinuity as a method of causal inference, using the potential-outcomes framework.

BUCKy is a Bayesian method of inference that combines information from individual trees to infer one tree [32]; it differs from standard consensus tree approaches in considering the support for each clade in each input tree during inference of the final tree.

A common method of inference in Bayesian modeling is Gibbs sampling, a Markov chain Monte Carlo (MCMC) method.