Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
Likelihood-Free Inference for Julia.
Approximate Bayesian Computation algorithm based on simulated annealing
Julia implementation of some ABC algorithms.
Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl
Add a description, image, and links to the approximate-bayesian-computation topic page so that developers can more easily learn about it.
To associate your repository with the approximate-bayesian-computation topic, visit your repo's landing page and select "manage topics."