Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

We develop a hierarchical Gaussian process model for forecasting and inference of functional time series data. Unlike existing methods, our approach is especially suited for sparsely or irregularly ...

Levelpath, the AI-native intake-to-procure platform that makes procurement delightful, has been recognized in the 2025 Gartner (R) Innovation Insight: Procurement Orchestration Platforms report.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

CAMBRIDGE, England & CAMBRIDGE, Mass.--(BUSINESS WIRE)--Lightcast Discovery Ltd., a pioneering life science tools company, today announced the limited commercial release of its Envisia™ benchtop ...

Objective To identify the optimal dose and type of physical activity to improve functional capacity and reduce adverse events in acutely hospitalised older adults. Design Systematic review and ...

"Public and private markets are converging, but the data infrastructure hasn't kept pace," said Nicholas Fusco, CEO of PM Insights. "We're not just aggregating data; we're revealing the economic ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Functional Cosmetic Ingredient Market Applications: Empowering Businesses Across the Value Chain: ...

Prayagraj: A 10-day GIAN (Global Initiative of Academic Networks) course on resting state functional MRI: analysis, interpretation, and applications c.