Bayesian Evidences for Dark Energy models in light of current
  obsevational data
  We do a comprehensive study of the Bayesian evidences for a large number of
dark energy models using a combination of latest cosmological data from SNIa,
CMB, BAO, Strong lensing time delay, Growth measurements, measurements of
Hubble parameter at different redshifts and measurements of angular diameter
distance by Megamaser Cosmology Project . We consider a variety of scalar field
models with different potentials as well as different parametrisations for the
dark energy equation of state. Among 21 models that we consider in our study,
we do not find strong evidences in favour of any evolving dark energy model
compared to $\Lambda$CDM. For the evolving dark energy models, we show that
purely non-phantom models have much better evidences compared to those models
that allow both phantom and non-phantom behaviours. Canonical scalar field with
exponential and tachyon field with square potential have highest evidences
among all the models considered in this work. We also show that a combination
of low redshift measurements decisively favours an accelerating $\Lambda$CDM
model compared to a non-accelerating power law model.
