REVIEW 7 cited by
Bayesian and frequentist investigation of prior effects in EFTofLSS analyses of full-shape BOSS and eBOSS data
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Previous studies based on Bayesian methods have shown that the constraints on cosmological parameters from the Baryonic Oscillation Spectroscopic Survey (BOSS) full-shape data using the Effective Field Theory of Large Scale Structure (EFTofLSS) depend on the choice of prior on the EFT nuisance parameters. In this work, we explore this prior dependence by adopting a frequentist approach based on the profile likelihood method, which is inherently independent of priors, considering data from BOSS, eBOSS and Planck. We find that the priors on the EFT parameters in the Bayesian inference are informative and that prior volume effects are important. This is reflected in shifts of the posterior mean compared to the maximum likelihood estimate by up to 1.0 {\sigma} (1.6 {\sigma}) and in a widening of intervals informed from frequentist compared to Bayesian intervals by factors of up to 1.9 (1.6) for BOSS (eBOSS) in the baseline configuration, while the constraints from Planck are unchanged. Our frequentist confidence intervals give no indication of a tension between BOSS/eBOSS and Planck. However, we find that the profile likelihood prefers extreme values of the EFT parameters, highlighting the importance of combining Bayesian and frequentist approaches for a fully nuanced cosmological inference. We show that the improved statistical power of future data will reconcile the constraints from frequentist and Bayesian inference using the EFTofLSS.
Forward citations
Cited by 7 Pith papers
-
A sound horizon independent measurement of $H_0$ from BOSS, DESI and DES Y3
Combining BOSS power spectrum and bispectrum with DESI and DES lensing data yields a sound-horizon-free H0 = 70.2 ± 2.3 km/s/Mpc, with a 1.8σ BAO scale deviation that is scale-cut dependent.
-
Debiasing inference in large-scale structure with non-flat volume measures
A curvature-weighted, non-flat volume measure removes the leading-order marginalization bias in posterior means, recovering cosmological parameters in mocks to below 0.1 sigma.
-
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum
A variational autoencoder compresses CMB temperature spectra into 5 (LambdaCDM) or 8 (with early dark energy) latent parameters that reconstruct the data within Planck errors and can be constrained with Planck observations.
-
Boosting galaxy clustering analyses with non-perturbative modelling of redshift-space distortions
A redshift-space distortion model that keeps the velocity damping function non-perturbative extends the usable scale range and improves cosmological parameter constraints by 20 to 50 percent on Stage-IV-like mocks.
-
Cosmological constraints and standard sirens forecasts for non-dynamical dark energy in Horndeski gravity
Standard sirens from third-generation detectors could measure H0 to 0.21% in Extended Cuscuton models, but the forecast omits the modified GW luminosity distance.
-
Bayesian and frequentist perspectives agree on dynamical dark energy
Frequentist profile-likelihood constraints on the CPL dark-energy parameters w0 and wa agree with Bayesian posteriors across DESI, CMB, and SN datasets, corroborating the evidence for dynamical dark energy.
-
Can the sound horizon-free measurement of $H_0$ constrain early new physics?
Mock galaxy-survey analyses show that sound-horizon-free H0 measurements do not currently rule out BAO-compatible early dark energy models, and LambdaCDM-derived priors can bias the result.
Discussion (0). Continue with ORCID to comment.