A crucial part of statistical analysis is evaluating a model’s quality and fit, or performance.
During analysis, especially with regression models, investigating the fit of models to data also …

In both theoretical and applied research, it is often of interest to assess the strength of an
observed association. This is typically done to allow the judgment of the magnitude of an effect (…

The Bayesian framework for statistics is quickly gaining in popularity among scientists, for
reasons such as reliability and accuracy (particularly in noisy data and small samples), the …

The functional anatomy of syntactic transformations, a major computational operation invoked
in sentence processing, was identified through a functional magnetic resonance imaging …

Turmoil has engulfed psychological science. Causes and consequences of the reproducibility
crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods …

Correlations tests are arguably one of the most commonly used statistical procedures, and
are used as a basis in many applications such as exploratory data analysis, structural …

The recent growth of data science is partly fueled by the ever-growing amount of data and
the joint important developments in statistical modeling, with new and powerful models and …

White matter tissue properties are highly correlated with reading proficiency; we would like to
have a model that relates the dynamics of an individual’s white matter development to their …

For more than a century, neurologists have hypothesized that the arcuate fasciculus carries
signals that are essential for language function; however, the relevance of the pathway for …

This paper studies neural processes of sentence comprehension, focusing on a specific
syntactic operation—syntactic movement. We describe two fMRI experiments that manipulate …