  Using the DAMA/LIBRA anomaly as an example, we formalise the notion of
halo-independence in the context of Bayesian statistics and quantified maximum
entropy. We consider an infinite set of possible profiles, weighted by an
entropic prior and constrained by a likelihood describing noisy measurements of
modulated moments by DAMA/LIBRA. Assuming an isotropic dark matter (DM) profile
in the galactic rest frame, we find the most plausible DM profiles and
predictions for unmodulated signal rates at DAMA/LIBRA. The entropic prior
contains an a priori unknown regularisation factor, $\beta$, that describes the
strength of our conviction that the profile is approximately Maxwellian. By
varying $\beta$, we smoothly interpolate between a halo-independent and a
halo-dependent analysis, thus exploring the impact of prior information about
the DM profile.
