Speaker
Arman Shafieloo
(Korea Astronomy and Space Science Institute)
Description
I revisit the old subject of comparing Bayesian and frequentist approaches in model selection and validation in the context of physical cosmology. I discuss caveats of both approaches dealing with unknowns and how using reliable non-parametric methods of reconstruction can help validating models without comparing them with each other. I discus the importance of this subject in the era of Big precision data and how inaccuracies due to systematics or wrong assumptions can result to unreal discoveries.
Primary author
Arman Shafieloo
(Korea Astronomy and Space Science Institute)
