Approximate Bayesian Computation
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Updated
Apr 10, 2017 - Jupyter Notebook
Approximate Bayesian Computation
Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
Source code for "Efficient Bayesian Experimental Design for Implicit Models", AISTATS 2019, https://arxiv.org/abs/1810.09912
My framework to perform likelihood-free inference with toy models or real-life simulation
A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)
Source code for Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation, ICML 2020, https://arxiv.org/abs/2002.08129
Code for the paper "Gradient-Based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds" https://arxiv.org/abs/2105.04379
Lectures on Bayesian statistics and information theory
Shiny application for prior elicitation experiments from "Probabilistic elicitation of expert knowledge through assessment of computer simulations"
pyLFI is a Python toolbox using likelihood-free inference (LFI) methods for estimating the posterior distributions of model parameters.
Python code for "Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods", NeurIPS, 2021, https://proceedings.neurips.cc/paper/2021/hash/d811406316b669ad3d370d78b51b1d2e-Abstract.html
Likelihood-Free Inference for Julia.
Repository for simulated genetic data presented by Nunes and Balding (2010).
Arbitrary Marginal Neural Ratio Estimation for Likelihood-free Inference
Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
Correlation functions versus field-level inference in cosmology: example with log-normal fields
Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases
Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation
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