bsd-3-clauseHuggins, BobbyLi, ChengkunTobaben, MarlonAarnos, Mikko J.Acerbi, Luigi2025-03-242023-05-242023-05-24https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9368This upload archives the v1.0.1 release of PyVBMC, as prepared for submission to the Journal of Open Source Software. PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference for *black-box* computational models. VBMC is an approximate inference method designed for efficient parameter estimation and model assessment when model evaluations are mildly-to-very expensive (e.g., a second or more) and/or noisy.OpenBayesian inferencemachine learningprobabilistic modelingcomputational statisticssoftware