Bayesian LOO-CV on five PTA frequency bins finds the phenomenological environmental model has highest predictive density but not decisively so, while simplified ULDM outperforms the realistic version.
Agazieet al., The NANOGrav 15 yr Data Set: Con- straints on Supermassive Black Hole Binaries from the Gravitational-wave Background, Astrophys
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Bayesian leave-one-out cross-validation for astrophysical model comparison using gravitational-wave background data
Bayesian LOO-CV on five PTA frequency bins finds the phenomenological environmental model has highest predictive density but not decisively so, while simplified ULDM outperforms the realistic version.