Pusan National University Scientists Develop Robust "Huber Mean" for Geometric Data

In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for traditional statistical tools. These curved spaces are called Riemannian manifolds.

Adam Grant on lessons from the pandemic, datum versus data, and how abstract numbers can lead to very real human outcomes

In this excerpt from the new book 'Speak Data,' the Wharton professor and best-selling author shares his thoughts on how we ...
EurekAlert!

The Huber Mean: A Robust Way to Average Data on Curved Spaces (IMAGE)

The newly developed Huber mean provides a more stable and reliable way to compute averages for data lying on curved geometric ...
The Daily of the University of Washington

Neurodiversifying neuroscience: an approach to embrace outliers in research

Alongside Leah Blankenship and Lila Kaye, two neurodivergent graduate students from UO, Smear created the NeuroDiversity Innovation Centers for Excellence in Neuroscience, otherwise known as “NICE in ...
The Lancet

Global burden of headache disorders: innovations, disparities, and priorities for action

In a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), the GBD 2023 Headache ...