1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.CO2026
Overlap, Not Moments: Finite-Sample Theory for Bridge Sampling
Giorgio Micaletto
Bridge sampling estimates of marginal likelihoods are routinely reported with a delta-method Monte Carlo standard error (MCSE). Existing theory is asymptotic and cannot say whether…
stat.CO2026
From Proxy to Certificate: Two-Sided Ollivier-Ricci Bounds from Balanced Forman Curvature
Giorgio Micaletto, Tebe Nigrelli
Balanced Forman (BF) curvature is used in graph learning as a cheap stand-in for Ollivier-Ricci (OR) curvature, yet it does not lower-bound OR curvature. We show that the BF value…
stat.ME2025★ 1 cited
Bridge Sampling Diagnostics
Giorgio Micaletto, Aki Vehtari
In Bayesian statistics, the marginal likelihood is used for model selection and averaging, yet it is often challenging to compute accurately for complex models. Approaches such as…