  We introduce a chance constrained optimization model for the fulfillment of
guaranteed display Internet advertising campaigns. The proposed formulation for
the allocation of display inventory takes into account the uncertainty of the
supply of Internet viewers. We discuss and present theoretical and
computational features of the model via Monte Carlo sampling and convex
approximations. Theoretical upper and lower bounds are presented along with a
numerical substantiation.
