https://github.com/papagorgio23/bayes-a-b-testing
A/B testing using Bayesian statistics. There may be times when you don't have enough data points using classical methods to draw statistically significant results. A simulation using Bayesian methods can help you be more confident with selecting a clear winner of an A/B test.
https://github.com/papagorgio23/bayes-a-b-testing
Last synced: 6 months ago
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A/B testing using Bayesian statistics. There may be times when you don't have enough data points using classical methods to draw statistically significant results. A simulation using Bayesian methods can help you be more confident with selecting a clear winner of an A/B test.
- Host: GitHub
- URL: https://github.com/papagorgio23/bayes-a-b-testing
- Owner: papagorgio23
- Created: 2018-05-25T21:08:19.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2020-05-13T18:53:26.000Z (about 5 years ago)
- Last Synced: 2023-07-25T04:29:44.195Z (almost 2 years ago)
- Language: R
- Size: 4.88 KB
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Bayes-A-B-Testing
A/B testing using Bayesian statistics. There may be times when you don't have enough data points using classical methods to draw statistically significant results. A simulation using Bayesian methods can help you be more confident with selecting a clear winner of an A/B test.