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AugmentedGPLikelihoods\n\n[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://JuliaGaussianProcesses.github.io/AugmentedGPLikelihoods.jl/stable)\n[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://JuliaGaussianProcesses.github.io/AugmentedGPLikelihoods.jl/dev)\n[![Build Status](https://github.com/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/actions/workflows/CI.yml?query=branch%3Amain)\n[![Coverage](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl)\n[![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)\n[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)\n[![DOI](https://zenodo.org/badge/434548515.svg)](https://zenodo.org/badge/latestdoi/434548515)\n\nProvides all necessary functions to work with augmented likelihoods for Gaussian Processes and more, check out the docs for more info.\n\nFor a global overview over the approach, see the PhD thesis [Latent variable augmentation for approximate Bayesian inference,\napplications for Gaussian processes](https://depositonce.tu-berlin.de/items/02f8e83d-72c9-4f69-bded-556caf15cc62).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliagaussianprocesses%2Faugmentedgplikelihoods.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuliagaussianprocesses%2Faugmentedgplikelihoods.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliagaussianprocesses%2Faugmentedgplikelihoods.jl/lists"}