Bayesian and frequentist investigation of prior effects in EFT of LSS analyses of full-shape BOSS and eBOSS data
Emil Brinch Holm, Laura Herold, Théo Simon, Elisa G. M. Ferreira, Steen Hannestad, Vivian Poulin, Thomas Tram
Abstract
The authors employ a frequentist profile likelihood analysis, and confirm that Effective Field Theory of Large Scale Structure parameters are sensitive to the choice of priors in Bayesian analyses. They conclude that better data will be needed to constrain key cosmological parameters such as \ensuremath{\sigma}₈ .
Topics & Concepts
Frequentist inferenceBossBayesian probabilityStatisticsBayes factorComputer scienceMathematicsEconometricsBayesian inferenceEngineeringMechanical engineeringHydrogen embrittlement and corrosion behaviors in metalsCorrosion Behavior and Inhibition