https://github.com/johannesbuchner/massivedatans
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
https://github.com/johannesbuchner/massivedatans
bayesian-inference big-data monte-carlo nested-sampling parallel-algorithm python
Last synced: 6 months ago
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Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
- Host: GitHub
- URL: https://github.com/johannesbuchner/massivedatans
- Owner: JohannesBuchner
- License: bsd-2-clause
- Created: 2017-07-10T12:55:39.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-10-28T11:25:42.000Z (over 5 years ago)
- Last Synced: 2024-04-16T07:05:48.213Z (about 1 year ago)
- Topics: bayesian-inference, big-data, monte-carlo, nested-sampling, parallel-algorithm, python
- Language: Python
- Homepage:
- Size: 2.27 MB
- Stars: 11
- Watchers: 4
- Forks: 4
- Open Issues: 1