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Review of <i>Statistical Rethinking: A Bayesian Course with Examples in R and Stan</i>, Second Edition, by Richard McElreath, Chapman and Hall, 2020

Jim Albert

Journal of Statistics and Data Science Education2020https://doi.org/10.1080/10691898.2020.1806761article
ABDC B
Weight
0.54

What the paper says

Due to the developments in Bayesian applications and associated computational resources in the past 30 years, there are many Bayesian texts currently available. Some of the texts, such as Gelman et...

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https://doi.org/https://doi.org/10.1080/10691898.2020.1806761

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@article{jim2020,
  title        = {{Review of <i>Statistical Rethinking: A Bayesian Course with Examples in R and Stan</i>, Second Edition, by Richard McElreath, Chapman and Hall, 2020}},
  author       = {Jim Albert},
  journal      = {Journal of Statistics and Data Science Education},
  year         = {2020},
  doi          = {https://doi.org/https://doi.org/10.1080/10691898.2020.1806761},
}

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Review of <i>Statistical Rethinking: A Bayesian Course with Examples in R and Stan</i>, Second Edition, by Richard McElreath, Chapman and Hall, 2020

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Evidence weight

0.54

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.49 × 0.4 = 0.19
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.