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Please, thank the author
Thank you very much for this work to @StatModeling , @DavidDunson7 , @avehtari et al and for recommending it to @isaacfab00, via @States_AI_IA #datascience #statistics #openscience #openaccess #ai #artificialintelligence #ml #ia #thebibleai #thanks
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| Sheet book | |
|---|---|
| Internal Id | 12092020p1 |
| Author/s | Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, Donald Rubin |
| Title | Bayesian Data Analysis |
| Book website | stat.columbia.edu/~gelman/book/ |
| Publisher | Self-published educational promotion version |
| Publication date | 2020 |
| Observations | Text (except the BDA3 book) and videos licensed under CC-BY-NC 4.0. Code licensed under BSD-3. The electronic version of the course book Bayesian Data Analysis, 3rd ed, by by Andrew Gelman, John Carlin, Hal Stern , David Dunson, Aki Vehtari, and Donald Rubin is available for non-commercial purposes. |
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| We do not provide links (in general) with hypertext to any website. We do this to avoid suggesting any type of commercial or interest relationship of ours in the recommendation. There are no conflicts of interest between the recommender and the recommended. Also to comply with the Intellectual Property Law (IP)/ Copyright, and (finally) let the user that all decisions regarding the use of the material are always personal. And to ensure private use without commercial purposes. The aforementioned, supposes that there is no responsibility of ours regarding the uses of licensing that a specific user may make. | Warning 3 A particular policy |
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| Sheet book |
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