A sliced-Wasserstein and k-nearest-neighbor minimum-distance estimator for the distribution of random coefficients β is consistent with polynomial-in-dimension computation, while its diffusion and causal extensions remain heuristic.
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A sliced Wasserstein and diffusion approach to random coefficient models
A sliced-Wasserstein and k-nearest-neighbor minimum-distance estimator for the distribution of random coefficients β is consistent with polynomial-in-dimension computation, while its diffusion and causal extensions remain heuristic.