Divergence estimators have emerged as quintessential tools in statistical inference, particularly in contexts where traditional likelihood‐based methods fail under model misspecification or data ...

Statistical physics and message passing inference represent two interwoven strands of modern quantitative research. While statistical physics examines how macroscopic phenomena emerge from the ...

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...

This article resulted from our participation in the session on the “role of expert opinion and judgment in statistical inference” at the October 2017 ASA Symposium on Statistical Inference. We present ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford.View full profile Eleanor has an ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. It's easy to forget that beneath the surface of every smart algorithm lies a surprisingly old ...

Imagine we had a question: “Do men and women differ on X?” No matter what “X” is—height, empathy, knowledge of 13 th century Spanish history, or anything else—we know that any given man will be ...