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A Partial Solution of the Marginal
Empirical Estimates in Stochastic Program
An Axiomatic Characterization
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ABSTRACT algorithm analysis applicant approximation assume assumption asymptotic Banach space binary Borel Borel measure bounded characteristic functions characterized coefficients collision channel Computer condition consider convergence convex convex function Corollary covariance function decision decomposition defined denote derive distribution function equation estimator example exists exponentially f-projection finite formula Gaussian measure given graph Hausdorff dimension Hence holds independent inequality Information Theory input integral Key words Lemma Levy's measures linear Markov martingale Math mathematical matrix method minimax n-th nodes nonnegative obtain operator optimal paper parameters player Prague probabilistic probability measure probability space problem procedure Proof properties Proposition protocol sequences random field random fixed point random set random variables rank test respect sample satisfying semi-stable solution spectral density stationary statistical stochastic strategy subsets Theorem tion vector Wiener process