https://github.com/lacerbi/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
https://github.com/lacerbi/ibs
likelihood-free log-likelihood matlab pyhton sampling simulation-model
Last synced: 3 months ago
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Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
- Host: GitHub
- URL: https://github.com/lacerbi/ibs
- Owner: lacerbi
- Created: 2022-10-30T07:04:35.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-30T14:05:16.000Z (over 2 years ago)
- Last Synced: 2025-02-05T23:57:43.360Z (4 months ago)
- Topics: likelihood-free, log-likelihood, matlab, pyhton, sampling, simulation-model
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Inverse binomial sampling (IBS)
IBS is a technique to obtain unbiased, efficient estimates of the log-likelihood of a model by simulation.
**>>> The official repository for IBS has moved to my lab's GitHub page: [https://github.com/acerbilab/ibs](https://github.com/acerbilab/ibs)**