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Preprint Aug 2026

On the minimax-rate optimality of approximate Bayesian computation in nonparametric problems

Approximate Bayesian computation (ABC) replaces likelihood evaluation by simulation and comparison of observed and synthetic data. We establish minimax-rate guarantees for nonparametric ABC under random-series priors with simulable finite-dimensional coordinates. The contraction theorem uses local prior mass, bounds on...

H. Nguyen · 0 citations

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