181 citations · 272 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
Super sample covariance and the volume scaling of galaxy survey covariance matrices
Greg Schreiner, Alex Krolewski, Shahab Joudaki +1
Super sample covariance (SSC) is important when estimating covariance matrices using a set of mock catalogues for galaxy surveys. If the underlying cosmological simulations do not…
Cosmological measurements from the CMB and BAO are insensitive to the tail probability in the assumed likelihood
Jordan Krywonos, Simone Paradiso, Alex Krolewski +2
When fitting cosmological models to data, a Bayesian framework is commonly used, requiring assumptions on the form of the likelihood and model prior. In light of current tensions b…
A new method to determine from cosmological energy-density measurements
Alex Krolewski, Will J. Percival, Alex Woodfinden
We introduce a new method for measuring the Hubble parameter from low-redshift large-scale observations that is independent of the comoving sound horizon. The method uses the baryo…
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…