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Fast, parallel and lightweight simulation-based inference in JAX.

Project description

sbiax

Fast, lightweight and parallel simulation-based inference.

sbiax is a lightweight library for simulation-based inference (SBI) with a fixed-grid of simulations.

[!WARNING] :building_construction: Note this repository is under construction, expect changes. :building_construction:


Design

A typical inference with SBI occurs with

  • fitting a density estimator to a set of simulations and parameters $(\xi, \pi)$ that may be compressed to summary statistics,
  • the measurement of a datavector $\hat{\xi}$,
  • the sampling of a posterior $p(\pi|\hat{\xi})$ conditioned on the measurement $\hat{\xi}$.

sbiax is designed to perform such an inference.


Usage

Install via

pip install sbiax

and have a look at examples.

Project details


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