p-values are commonly used as summaries of evidence for association between a genetic variant and phenotype, but they have an important limitation in that they are unable to quantify how confident one ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

What do a 20th-century physicist, an 18th-century statistician and an ancient Greek philosopher have in common? They all knew how to extrapolate with incredible accuracy. Columnist Jacob Aron explains ...

This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating ...

Although Duolingo suffered a severe drop following its Q4 earnings disclosure, the smart money seems intrigued by DUOL stock call options.

The Chiefs can’t afford to miss with the ninth overall pick, and Rueben Bain Jr.’s historically short arm length raises serious questions about whether his pass-rush profile can deliver the star-level ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Most phenotypic variation in natural populations is attributable to multiple interacting loci, with allelic effects that are sensitive to the exact environmental conditions each individual experiences ...