  The determination of Parton Distribution Functions from a finite set of data
is a typical example of an inverse problem. Inverse problems are notoriously
difficult to solve, in particular when a robust determination of the
uncertainty in the result is needed. We present a Bayesian framework to deal
with this problem and discuss first results from a closure test.
