The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

In the modern sport of football, data is king. Every pass, every tackle, and every shot is tracked meticulously, resulting in a full ocean of statistics, an unparalleled amount of information ...

The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...

Public views on pit bulls didn’t form through careful study. They evolved from shorthand language, selective reporting, and ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that have already been generated. The more data that is available in a given ...

Faculty in the Statistical Learning and Data Science Hub advance statistical and machine learning methods tailored to the unique challenges of biomedical and epidemiologic data, including ...

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Johan Ferreira receives funding from the Centre of Excellence in Mathematical and Statistical Sciences, based at the University of the Witwatersrand, towards this Scholarship of Learning and Teaching ...

Purpose: To assess medical students’ needs regarding statistics education and inform potential reforms in medical statistics teaching. Method: A self-administered questionnaire survey was conducted ...