Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
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Updated
Nov 29, 2017 - Python
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Simple model class and non-vectorized samplers for Approximate Bayesian Statistics (ABC)
A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)
Comparison of summary statistic selection methods with a unifying perspective.
Simulation-based inference using SSNL
Trabajo de Fin de Grado de Física 2022
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Simulation-based inference in JAX
The official code repo for HyperAgent algorithm published in ICML 2024.
This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.
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