2 papers
astro-ph.CO2025
Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure
S. Paradiso, M. Bonici, M. Chen +4
Many physical models contain nuisance parameters that quantify unknown properties of an experiment that are not of primary relevance. Typically, these cannot be measured except by…
astro-ph.CO2024
Evaluating extensions to LCDM: an application of Bayesian model averaging and selection
S. Paradiso, G. McGee, W. J. Percival
We employ Bayesian Model Averaging (BMA) as a powerful statistical framework to address key cosmological questions about the universe's fundamental properties. We explore extension…