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: 3 months 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 (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-30T14:03:44.000Z (almost 3 years ago)
- Last Synced: 2025-03-30T20:48:14.657Z (6 months ago)
- Topics: bayesian-inference, data-analysis, gaussian-processes, machine-learning, matlab, variational-inference
- Homepage:
- Size: 3.91 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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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)**