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Part ii) follows directly from the definition of∆(·)

BecauseL∞(x, θ) is a continuous convex functional of x∈X, andX is a Hilbert space (thus reflexive), part i) follows from Proposition 1 · 1999

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Generalized Optimal Transport

econ.EM · 2025-07-30 · conditional · novelty 7.0

Generalized Optimal Transport encodes identified marginals and independence as kernel moments, then uses duality and polynomial sieves to compute sharp bounds with a one-sided sqrt(n)-consistent estimator.

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  • Generalized Optimal Transport econ.EM · 2025-07-30 · conditional · none · ref 10

    Generalized Optimal Transport encodes identified marginals and independence as kernel moments, then uses duality and polynomial sieves to compute sharp bounds with a one-sided sqrt(n)-consistent estimator.