Simulation-based inference has really become a commonly used tool for parameter inference across many fields and applications. We (finally...) got together to write a tutorial introduction and guide to (hopefully) help users get started and navigate the different methods and diagnostics!
Jakob Macke
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
š Paper: arxiv.org/abs/2508.12939
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...