A Global Bayesian Analysis of Neutrino Mass Data
  We perform a global Bayesian analysis of currently available neutrino data,
putting data from oscillation experiments, neutrinoless double beta decay
($0\nu\beta\beta$), and precision cosmology on an equal footing. We evaluate
the discovery potential of future $0\nu\beta\beta$ experiments and the Bayes
factor of the two possible neutrino mass ordering schemes for different prior
choices. We show that the indication for normal ordering is still very mild and
does not strongly depend on realistic prior assumptions or different
combinations of cosmological data sets. We find a wide range for
$0\nu\beta\beta$ discovery potential, depending on the absolute neutrino mass
scale, mass ordering and achievable background level.
