Anytime-valid simulation-based hypothesis testing
arXiv:2610.08210v1 Announce Type: new Abstract: For a given data distribution $(X_t)_{t \in \mathbb{N}} \sim Q$ i.i.d., we investigate the hypothesis testing problem: $H_0: Q = P_0$ vs. $H_1: Q = P_1$, for two different model probability distributions $P_0$ and $P_1$. In contrast to the standard se…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-07 04:00 · arXiv stat.ML
Anytime-valid simulation-based hypothesis testing