Bayesian Model Comparison of $R_h=ct$ versus $\Lambda$CDM using HII galaxy Hubble diagram
Yuva Himanshu Pallam, Shantanu Desai

TL;DR
This study performs Bayesian model comparison between the $R_h=ct$ universe and $ ull$Lambda$CDM$ models using HII galaxy data, finding that prior choices influence which model is favored.
Contribution
It provides a Bayesian comparison of $R_h=ct$ and $ ull$Lambda$CDM$ models with different priors, highlighting the impact of prior assumptions.
Findings
Bayes factors are close to 1 with uniform priors, indicating equal support.
$R_h=ct$ is strongly favored over $ ull$Lambda$CDM$ with Planck-based priors.
$R_h=ct$ is marginally favored over flat $w$CDM with Planck priors.
Abstract
We complement a recent analysis comparing with CDM/CDM using HII galaxies and giant extragalactic HII regions, by carrying out Bayesian model comparison. For this purpose, we calculate the Bayes factors for compared to flat CDM/CDM using the same dataset. When we use uniform priors on cosmological parameters, we find that the Bayes factors are close to 1, implying that is equally favored compared to CDM/CDM. However, when we use normal priors on cosmological parameters based on Planck cosmology, we find that is strongly favored over flat CDM, while is marginally favored over flat CDM.
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