SBIAX: Density-Estimation Simulation-Based Inference in JAX
MCML Authors
Abstract
Abstract
In a typical Bayesian inference problem, the data likelihood is not known. However, in recent<br>years, machine learning methods for density estimation can allow for inference using an estimator<br>of the data likelihood. This likelihood estimator is fit with neural networks that are trained on<br>simulations to maximise the likelihood of the simulation-parameter pairs - one of the many<br>available tools for Simulation Based Inference (SBI), (Cranmer et al., 2020)...
article
The Journal of Open Source Software
10.105. Jan. 2025.Authors
J. Homer • O. FriedrichLinks
DOIResearch Area
BibTeXKey: HF25a