https://github.com/lacerbi/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)
https://github.com/lacerbi/vbmc

bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference

Last synced: 23 days ago
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Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)

• Host: GitHub
• URL: https://github.com/lacerbi/vbmc
• Owner: lacerbi
• Created: 2022-10-30T07:59:42.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-30T14:03:44.000Z (about 2 years ago)
• Last Synced: 2023-10-20T21:07:18.381Z (about 1 year ago)
• Topics: bayesian-inference, data-analysis, gaussian-processes, machine-learning, matlab, variational-inference
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Variational Bayesian Monte Carlo (VBMC)

VBMC is an approximate inference method designed to fit and evaluate computational models with a limited budget of potentially noisy likelihood evaluations (e.g., for computationally expensive models).

**>>> The official repository for VBMC has moved to my lab's GitHub page: [https://github.com/acerbilab/vbmc](https://github.com/acerbilab/vbmc)**