The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Why elite chess ratings get stuck: A new model treats draws as data

Here's a statistical challenge worthy of a grandmaster: How do you create an accurate ranking system when the best players ...
VentureBeat

Google’s DataGemma AI is a statistics wizard

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google is expanding its AI model family while addressing some of the ...
EurekAlert!

Integrating machine learning with statistical methods enhances disease risk prediction models

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...
JSTOR Daily

Bayesian MAP estimation using Gaussian and diffused-gamma prior

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 46, No. 3 (September/septembre 2018), pp. 399-415 (17 pages) For sparse and high-dimensional data analysis, a valid ...