  We study robustly optimal mechanisms for selling multiple items. The seller
maximizes revenue robustly against a worst-case distribution of a buyer's
valuations within a set of distributions, called an ``ambiguity'' set. We
identify the exact forms of robustly optimal selling mechanisms and the
worst-case distributions when the ambiguity set satisfies a variety of moment
conditions on the values of subsets of goods. We also identify general
properties of the ambiguity set that lead to the robust optimality of partial
bundling which includes separate sales and pure bundling as special cases.
