We study statistical inference and distributionally robust solution methods for stochastic optimization problems, focusing on confidence intervals optimal values solutions that achieve exact coverage asymptotically. develop a generalized empirical likelihood framework—based distributional uncertainty sets constructed from nonparametric f-divergence balls—for Hadamard differentiable functionals,...
