Constraining the dark energy models using the BAO data: An approach
  independent of $H_0 \cdot r_d$
  The degeneracy between the Hubble parameter $H_0$ and the sound Horizon scale
$r_d$ is removed for the Baryon Acoustic Oscillations (BAO) datasets. We
redefine the Likelihood by integrating over the $H_0\cdot r_d$ parameter and
perform the full Bayesian Analysis for different models of dark energy (DE). We
find that the BAO datasets without further assumptions aren't sufficient to
constraint the models properly. By adding the type IA supernova the models are
constrained better. From the BAO only, the evidence in favor of $\Lambda$CDM is
weak. However, the $\Lambda$CDM seems to be the best model from the combined
datesets.
