A six-model genome-wide association study of 239 maize inbred lines has identified 200 genetic variants linked to kernel fat ...

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 ...

When the brain or spinal cord is subjected to sudden forces, as in a car crash, a fall on the sports field, or a blast wave, ...

Dynamic statistical modelling of social networks encompasses the development and application of quantitative frameworks to capture how social ties form, evolve and dissolve over time. Rather than ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

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 ...

Interview with Dr. Caroline Buckee on the uses — and limitations — of epidemiologic modeling to predict the spread of Covid-19. 10m 49s Download Amid enormous uncertainty about the future of the Covid ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. The rapid adoption ...