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.CO2024
Bayesian "Deep" Process Convolutions: An Application in Cosmology
Kelly R. Moran, Richard Payne, Earl Lawrence +7
The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure f…