Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui ...

A variety of statistical tools can detect potential breaches in the integrity of elections. These techniques draw on tools from many fields, including pure mathematics, statistics, and machine ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Comparing plant DNA from over one hundred plant species from across the green tree of life, the scientists produced some exciting findings, including that evolution does not always lead to more ...

“One Guinness, please!” a customer says to a barkeep, who flips a branded pint glass and catches it under the tap. The barkeep begins a multistep pour process lasting precisely 119.5 seconds, which, ...

JEBS provides an outlet for papers that develop original statistical methods useful for the applied statistician working in educational or behavioral research. Typical papers will present new methods ...

Both the budgets and methods of US statistical agencies like the Bureau of Labor Statistics and the Bureau of Economic Analysis have come under political challenge.

The first goal of this article is to consider influence analysis of principal Hessian directions (pHd) and highlight how such an analysis can provide valuable insight into its behaviour. Such insight ...