A comprehensive comparison of cosmological models from latest
  observational data
  We investigate in detail some popular cosmological models in light of the
latest observational data, including the Union2.1 supernovae compilation, the
baryon acoustic oscillation measurements from the WiggleZ Dark Energy Survey,
the cosmic microwave background information from the WMAP 7-year observations
along with the observational Hubble parameter data. Based on the model
selection statistics such as the Akaike and the Bayesian information criterias,
we compare different models to assess the worth of them. We do not assume a
flat universe in the fitting. Our results show that the concordance
$\Lambda$CDM model remains the best one to explain the data, while the DGP
model is clearly disfavored by the data. Among these models, those whose
parameters can reduce themselves to the $\Lambda$CDM model provide good fits to
the data. These results indicate that for the current data, there is no obvious
evidence supporting any more complex models over the simplest $\Lambda$CDM
model.
