A Parameterization Invariant Approach to the Statistical Estimation of the CKM Phase
arXiv:0803.3458 · doi:10.1088/1126-6708/2009/03/010
Abstract
In contrast to previous analyses, we demonstrate a Bayesian approach to the estimation of the CKM phase that is invariant to parameterization. We also show that in addition to {\em computing} the marginal posterior in a Bayesian manner, the distribution must also be {\em interpreted} from a subjective Bayesian viewpoint. Doing so gives a very natural interpretation to the distribution. We also comment on the effect of removing information about .
14 pages, 3 figures, 1 table, minor revision; to appear in JHEP