A reader objects to a defense of disparate-impact theory.

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Abstract: The Apache Spark stack has enabled fast large-scale data processing. Despite a rich library of statistical models and inference algorithms, it does not give domain users the ability to ...

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...

No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...

Machine learning is increasingly used as an efficient substitute for traditional data collection when the latter is challenging. For example, predictions of conditions such as poverty, deforestation, ...

Image credits: Flickr / Bernard Dupont. Researchers at the University of Tübingen in Germany trained two carrion crows (Corvus corone) to peck at images on a touchscreen and earn food treats. They ...

The ‘Big Brain’ meme going viral in 2016 and appearing in our social media feeds ever since has reinforced the notion that a bigger brain implies a more intelligent creature while taking a sarcastic ...