PyVBMC: Efficient Bayesian inference in Python

1 code implementation • 16 Mar 2023 • Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference for black-box computational models (Acerbi, 2018, 2020).

Bayesian Inference Model Selection