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Geoff K. Nicholls

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#machine learning Preprint Oct 2026

Sample-Size Extrapolation in Simulation-Based Inference via Statistical Scaling

In simulation-based inference (SBI), neural posterior estimators trained on a bounded range of sample sizes can become inaccurate on larger datasets because their parameterizations do not specify how posterior location, uncertainty and shape must change as observations accumulate. We propose center-estimated NPE (CE-NP...

Shi-Yi Sun, Lei Fang, Geoff K. Nicholls · 0 citations
Preprint Aug 2026

Bessel-Debiased Pseudo-Marginal MCMC for Generalised Bayesian Inference

Sign-Corrected Bessel Debiasing (SCBD), a signed pseudo-marginal method based on independent block estimates of the loss, is introduced and its ordinary-MC and independently randomised quasi-Monte Carlo (RQMC) implementations are studied.

Yingkai Lu, J. Lee, Geoff K. Nicholls · 0 citations

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