- Frequentism and Bayesianism V: Model Selection https://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/ 11 comments statistics
Linking pages
- Frequentism and Bayesianism: A Practical Introduction | Pythonic Perambulations http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/ 57 comments
- Bayesian machine learning - FastML http://fastml.com/bayesian-machine-learning/ 6 comments
- Frequentism and Bayesianism IV: How to be a Bayesian in Python | Pythonic Perambulations http://jakevdp.github.io/blog/2014/06/14/frequentism-and-bayesianism-4-bayesian-in-python/ 4 comments
Linked pages
- Frequentism and Bayesianism: A Practical Introduction | Pythonic Perambulations http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/ 57 comments
- p-value - Wikipedia http://en.wikipedia.org/wiki/P-value#Misunderstandings 27 comments
- Akaike information criterion - Wikipedia https://en.wikipedia.org/wiki/Akaike_information_criterion 15 comments
- Frequentism and Bayesianism IV: How to be a Bayesian in Python | Pythonic Perambulations http://jakevdp.github.io/blog/2014/06/14/frequentism-and-bayesianism-4-bayesian-in-python/ 4 comments
- John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014 - YouTube https://www.youtube.com/watch?v=5Dnw46eC-0o 0 comments
- [1411.5018] Frequentism and Bayesianism: A Python-driven Primer http://arxiv.org/abs/1411.5018 0 comments
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