Develops convMMD, a noise-convolved variant of MMD that preserves metric properties and enables consistent inference under known heteroscedastic measurement error.
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Convolutional Maximum Mean Discrepancy for Inference in Noisy Data
Develops convMMD, a noise-convolved variant of MMD that preserves metric properties and enables consistent inference under known heteroscedastic measurement error.