ELFI - Engine for Likelihood-Free Inference
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May 7, 2025 - Python
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likelihood-free
Here are 13 public repositories matching this topic...
R package for statistical inference using partially observed Markov processes
markov-model r time-series state-space statistical-inference particle-filter dynamical-systems abc differential-equations mathematical-modelling likelihood markov-chain-monte-carlo stochastic-processes likelihood-free b-spline measurement-error sequential-monte-carlo sobol-sequence simulation-based-inference iterated-filtering
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Aug 29, 2026 - R
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
machine-learning neural-networks abc bayesian-inference density-estimation likelihood-free simulation-based-inference
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Jul 3, 2020 - Python
Julia package for simulation-based, likelihood-free parameter inference using neural networks.
statistics deep-learning parameter-estimation likelihood-free likelihood-free-inference simulation-based-inference
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Sep 1, 2026 - Julia
A Python toolkit for (simulation-based) inference and the mechanization of science.
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Apr 15, 2022 - Python
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
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Jun 25, 2023 - MATLAB
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
julia statistical-inference model-selection parameter-estimation bayesian-inference likelihood-free monte-carlo-methods posterior-probability approximate-bayesian-computation marginal-likelihood model-evidence
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May 13, 2026 - Julia
A Python implementation of EP-ABC for likelihood-free, probabilistic inference.
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Jun 22, 2018 - Python
Likelihood-Free Inference for Julia.
abc likelihood-free approximate-bayesian-computation approximate-bayesian-inference likelihood-free-inference
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Mar 14, 2022 - Julia
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
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Jun 5, 2023 - Jupyter Notebook
Estimating dynamic models by matching random features
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Jul 27, 2026 - Python
Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.
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May 29, 2020 - Python
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
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Oct 30, 2022
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