Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Cluster randomised trials (CRTs) remain key for evaluating the community-wide impact of interventions against infectious ...

Statistical modelling of covariance structures addresses the challenge of characterising and estimating the patterns of variability and interdependence among multiple variables. Central to ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

There are several books in the extensive and varied literature on Turbulence that deal, in statistical terms and in the context of fluid dynamics, with the phenomenon itself, as well as its many ...

Researchers have identified a previously unrecognized mathematical property that explains why one of evolutionary biology's most widely used statistical models can produce convincing but incorrect ...

Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Language models analyze ...