Author

Akash Deep

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Preprint Jul 2026

Amortized Inference for Sampling Distributions Where the Bootstrap Fails

A neural network is trained on simulated datasets drawn from a prior over a distribution family, using single independent draws of the root T_n - T(F) scored by the pinball loss, a proper scoring rule whose population minimizer is the posterior-predictive law of the root.

Akash Deep · 0 citations