统计再思考
Statistical Rethinking
Richard McElreath · 初版 2015 年
81人推荐
92位读者提及
113次提及
为什么值得读
- 教学设计极其出色且讲解生动毫不枯燥
- 结合R与Stan代码实操学习贝叶斯推断
- 深入浅出讲解回归分析与多层建模方法
“Statistical Rethinking: A Bayesian Course with Examples in R and Stan旨在建立读者在统计建模方面的知识与信心。考虑到当今基于模型的统计学即使是基础编程也有所要求，本书促使读者去执行通常由自动化完成的逐步计算。这种独特的计算方法确保读者掌握足够的细节，从而在自己的建模工作中做出合理的选择与解释。本书从贝叶斯视角讲授广义线性多层模型，依托简明逻辑解释
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……代数：Linear Algebra - A Modern Introduction（第 4 版）- Poole 7. 概率论：Introduction to Probability - Blitzstein, Hwang + 在线课程 https://projects.iq.harvard.edu/stat110 8. 统计学：（针对贝叶斯）Statistical Rethinking - A Bayesian Course with Examples in R and Stan - McElreath + 在线课程 https://www.youtube.com/playlist?list=PLDcUM9US4XdM9_N6XUUFr... 通常你会同时上第 4、第 5 和第 6 门课。
…Algebra - A Modern Introduction (4th ed) - Poole 7. Probability: Introduction to Probability - Blitzstein, Hwang + online course https://projects.iq.harvard.edu/stat110 8. Statistics: (for Bayesian) Statistical Rethinking - A Bayesian Course with Examples in R and Stan - McElreath + online course https://www.youtube.com/playlist?list=PLDcUM9US4XdM9_N6XUUFr... Usually you'll be doing courses on #4, #5, and #6 simultaneously.
……对大多数有志于成为数据科学家的人来说，先去啃更入门的教材并真正吃透它们会更有帮助。对于需要补更多统计的人，也许可以先看 Blitzstein 和 Hwang 的《Introduction to Probability》，然后看 McElreath 的《Statistical Rethinking》或者 Wasserman 的《All of Statistics》。至于如何培养良好的软件工程判断力和习惯，我甚至不知道该推荐什么。这方面似乎没有什么捷径……
…most aspiring data scientists would be better served going with more introductory texts and really understanding them. Maybe Blitzstein and Hwang's "Introduction to Probability" and then McElreath's "Statistical Rethinking" or Wasserman's "All of Statistics" for people who need more stats. I'm not even sure what to recommend for developing good software judgment and habits. There doesn't seem to be a shortcut for that.…
如果你想学 Stan，我强烈推荐 Richard McElreath 写的《Statistical Rethinking》（第 2 版）。这是一部教学法上的神作，也是我见过的学习贝叶斯推断最好的资料，甩其他资源好几个光年。
If you want to learn Stan I highly recommend the book Statistical Rethinking (2nd Ed) by Richard McElreath. It’s a pedagogical masterpiece and light years away the best resource I’ve found on learning Bayesian inference.
这是因为大多数都写得非常枯燥且糟糕。不过确实还是有一些神作的。所以或许我们可以在这里列一列？以下是我最喜欢的几本：- Statistical Rethinking：Richard McElreath（他的 Twitter 和公开课也很棒）- Introduction to Quantum Mechanics：Griffiths（只要是他写的都好）- Classical Dynamics of Particles and System：Stephen Thornton
It's because most are very dry and poorly written. There are some real gems out there though. So maybe we can list some here? Here's some of my favorites: - Statistical Rethinking : Richard McElreath (also great Twitter and online lectures) - Introduction to Quantum Mechanics: Griffiths (anything he writes is good) - Classical Dynamics of Particles and System : Stephen Thornton
我个人最喜欢的是 Richard McElreath 的《Statistical Rethinking》，它从贝叶斯视角切入讲解回归和多层模型（multilevel modeling），而且不需要太高深的深层数学背景。
My personal favorite is Richard McElreath's "Statistical Rethinking", which covers regression and multilevel modeling from a Bayesian approach but doesn't assume too much formal math background.
……Illustrative Guide to Multivariable and Vector Calculus (Miklavcic): https://www.amazon.ca/gp/product/3030334589/ - Probability: A Graduate Course (Allan Gut): https://www.amazon.ca/gp/product/1461447070/ - Statistical Rethinking (McElreath): https://www.amazon.ca/gp/product/036713991X/ - An Introduction to Statistical Learning (James, Witten, Hastie & Tibshirani): https://www.amazon.ca/Introduction-Statistical-Learning-Appl...…
…Illustrative Guide to Multivariable and Vector Calculus (Miklavcic): https://www.amazon.ca/gp/product/3030334589/ - Probability: A Graduate Course (Allan Gut): https://www.amazon.ca/gp/product/1461447070/ - Statistical Rethinking (McElreath): https://www.amazon.ca/gp/product/036713991X/ - An Introduction to Statistical Learning (James, Witten, Hastie & Tibshirani): https://www.amazon.ca/Introduction-Statistical-Learning-Appl...…