For Gaussians with unknown truncation sets, sample-efficient estimation is achieved with sample complexity governed by VC dimension and Gaussian surface area, and a near-matching lower bound is provided.
Truncated and censored samples: theory and applications
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Efficient Truncated Statistics with Unknown Truncation
For Gaussians with unknown truncation sets, sample-efficient estimation is achieved with sample complexity governed by VC dimension and Gaussian surface area, and a near-matching lower bound is provided.