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 ...

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

One basketball analyst explained a metric that shows how historically dominant Duke's star freshman Cameron Boozer has been this season.

Mathematics achievement is shaped not only by cognitive skills but also by psychological factors such as self-esteem and test anxiety. Demographic characteristics, including gender, age, and school ...

Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Biofeedback and neurofeedback are increasingly used in sports psychology, yet their overall effectiveness for athletes’ mental health, athletic performance, and cognitive performance remains unclear.

This important study presents a meta-analysis confirming a statistically significant association between slow oscillation-spindle coupling and memory formation, although the reported effects are ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...