2 papers
stat.AP2026
Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra
Stephen A. Walsh, Annie S. Booth, David Higdon +3
Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators t…
astro-ph.GA2026
Emulator-Based Inference of Cosmological Subgrid Models
Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4
The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…