sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the … all rectangles, or more generally, sparsely convex sets, and does not require any restrictions on the correlation among … components of Xi. Sparsely convex sets are sets that can be represented as intersections of many convex sets whose indicator …

sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the … all rectangles, or more generally, sparsely convex sets, and does not require any restrictions on the correlation among … components of Xi. Sparsely convex sets are sets that can be represented as intersections of many convex sets whose indicator …

sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the … all rectangles, or more generally, sparsely convex sets, and does not require any restrictions on the correlation among … components of Xi. Sparsely convex sets are sets that can be represented as intersections of many convex sets whose indicator …

sums hit rectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for the … all rectangles, or more generally, sparsely convex sets, and does not require any restrictions on the correlation among … components of Xi. Sparsely convex sets are sets that can be represented as intersections of many convex sets whose indicator …

leads to the systematic inclusion into convex sets of recession directions, and a similar extension for convex functions … approach leads to the systematic inclusion into convex sets of recession directions, and a similar extension for convex … extension of the duality theory for optimization problems is given. Keywords: convex sets, convex functions, duality, convex …

leads to the systematic inclusion into convex sets of recession directions, and a similar extension for convex functions …