299 citations · 453 across the 9 of their papers we have counts for
4 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…
HOD-informed prior for EFT-based full-shape analyses of LSS
Hanyu Zhang, Marco Bonici, Guido D'Amico +2
To improve the performance of full-shape analyses of large-scale structure, we consider using a halo occupation distribution (HOD)-informed prior for the effective field theory (EF…
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…
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…